LiveCareer-Resume

graduate research assistant resume example with 6+ years of experience

Jessica Claire
  • , San Francisco, CA 609 Johnson Ave., 49204, Tulsa, OK
  • H: (555) 432-1000
  • C:
  • resumesample@example.com
  • Date of Birth:
  • India:
  • :
  • single:
Experience
Graduate Research Assistant, 01/2019 - Current
University Of San Francisco , CA, USA
  • Analyzed TripAdvisor reviews related to hurricanes using natural language processing (NLP) techniques such as tokenization, normalization, word frequency, POS tagging, word2vec, and related visualizations via R, Python, Tableau and Power BI.
  • Results are used by Professors to publish technical paper.
  • Prepared predictive models for student feedbacks received by School through various survey questionnaire.
  • Machine learning models such as Random Forest Regressor and Gradient Boosting Regressor are built to study impact of questions on each other.
  • This analysis will help authorities to design and properly structure the questionnaire, Graduate Student 2019 - Present Projects Completed in Python.
  • Created LSTM and Gradient Boosting regressor models to accurately forecast Sales for Walmart as part of Kaggle competition "M5 Forecast Accuracy".
  • Identified factors affecting sales to make recommendations to Walmart.
  • Sales of future dates are forecasted for each item in each listed store so that Walmart can manage inventory accordingly.
  • Forecasted possible machine failure and maintenance requirement instances through Predictive Maintenance (PdM) technique.
  • Deployable Tableau dashboard is created, which shows possible machine failure and maintenance requirements over time.
  • Recommendations are made to highlight focus areas for possible improvement of machine condition.
  • Recommended travel plan for Canada-US border travelers by analyzing past wait times using Pandas, OLS & Logistic regressions in Python Projects Completed in R.
  • Explored effect of financial crisis on corporate profits to answer few questions such as measuring impact on profits, identifying firms that suffered most or least, calculating possible recovery time for any firm.
  • The report was prepared in language that can be understood by layperson.
  • Found out optimal portfolio using simulation method and compared in mean-variance space for multiple stocks price data and visualized the output using ggplot2.
  • Recommendations are made for investment to maximize profit.
  • Identified factors affecting Obesity in the USA through regression analysis that Rochester Regional Health should focus on while preparing its action plan Project Completed in SAS.
  • Calculated annual and monthly returns for back tested assets with Market equity anomaly.
  • Results then fed into functions created in R to generate Terminal Wealth Chart that visualizes growth of unit investment over time Projects Completed in Minitab.
  • Solved statistical and time series analysis problems, including hypothesis testing, regressions, trend analysis, decomposition, exponential smoothing.
  • Forecasts are made to validate results of models MOHAN M.
  • Claire | XXX.XXX.XXX | resumesample@example.com|www.linkedin.com/in/mohanClaire Page 2 Projects Completed in Tableau & Power BI.
  • Analyzed energy consumption and production-related data of 4 states in USA through visualizations made in Tableau and Power BI Desktop.
  • Proposed possible ways to increase use of clean energy sources based on forecasted values of energy consumption and production.
  • Completed Exploratory Data Analysis (EDA) for data related to Heritage health prize to understand data and to decide.
  • Possible approaches to solve the problem.
Engineering Analyst, 01/2017 - 01/2019
Wells Fargo Boise, ID, India
  • Redesigned older automotive parts for use in new vehicles using CAD software such as CATIA, Unigraphics (NX) for luxury car parts manufacturer based out of Germany.
  • Proposed potential part quantity reduction ideas, helping client to consider other ways to slash inventory.
  • Provided new part designs using Solidworks.
  • Assessed data gathered in Excel, incurring 85M JPY (USD80K) in savings.
  • Created automation tools using Autohotkey and Excel VBA macros to automate recurring tasks, cutting time by 20% and allowing for multitasking that resulted in improving performance and efficiency of team.
Senior Engineer, 01/2015 - 01/2017
, ,
  • Guided and led three-person team in documenting off-highway vehicle assembly processes that aided the US-based top off-highway vehicle manufacturer in creating full-scale process plan.
  • Led important real-time project that garnered USD90K in annual revenue, directly impacting production on the client end; worked tirelessly to maintain direct client communication.
  • Automated and revamped processes to garner annual net savings of USD75K yearly, equivalent to 84% of cost to Infosys for client.
  • Revised billing using data analysis; generated additional revenue of USD22K yearly, a 25% net increase for the company.
  • Acknowledged by the Infosys Delivery Head and Delivery Manager for revenue increase in April of 2016; received appreciation from the Client General Manager as well Engineer 2013 - 2015.
  • Partook in two months training in aero-interior design for personal aircraft.
  • Motivated and led seven-person team to review drawings created in CAD software (CATIA), as part of Aircraft design project for world's largest aircraft manufacturer; trained new team hires, ensuring on-time delivery.
Systems Engineer Trainee, 01/2013 -
, ,
  • Engaged in intensive four-month Foundation Program (FP) training; completed with fair CGPA of 4.5/5.
  • Focused on the basics of Java, DBMS, My SQL, and building expertise in Aerospace Domain.
Work History
Graduate Research Assistant, 01/2019 - Current
Rochester Institute of Technology , NY
  • Analyzed TripAdvisor reviews related to hurricanes using natural language processing (NLP) techniques such as tokenization, normalization, word frequency, POS tagging, word2vec, and related visualizations via R, Python, Tableau and Power BI.
  • Results are used by Professors to publish technical paper.
  • Prepared predictive models for student feedbacks received by School through various survey questionnaire.
  • Machine learning models such as Random Forest Regressor and Gradient Boosting Regressor are built to study impact of questions on each other.
  • This analysis will help authorities to design and properly structure the questionnaire, Graduate Student 2019 - Present Projects Completed in Python.
  • Created LSTM and Gradient Boosting regressor models to accurately forecast Sales for Walmart as part of Kaggle competition "M5 Forecast Accuracy".
  • Identified factors affecting sales to make recommendations to Walmart.
  • Sales of future dates are forecasted for each item in each listed store so that Walmart can manage inventory accordingly.
  • Forecasted possible machine failure and maintenance requirement instances through Predictive Maintenance (PdM) technique.
  • Deployable Tableau dashboard is created, which shows possible machine failure and maintenance requirements over time.
  • Recommendations are made to highlight focus areas for possible improvement of machine condition.
  • Recommended travel plan for Canada-US border travelers by analyzing past wait times using Pandas, OLS & Logistic regressions in Python Projects Completed in R.
  • Explored effect of financial crisis on corporate profits to answer few questions such as measuring impact on profits, identifying firms that suffered most or least, calculating possible recovery time for any firm.
  • The report was prepared in language that can be understood by layperson.
  • Found out optimal portfolio using simulation method and compared in mean-variance space for multiple stocks price data and visualized the output using ggplot2.
  • Recommendations are made for investment to maximize profit.
  • Identified factors affecting Obesity in the USA through regression analysis that Rochester Regional Health should focus on while preparing its action plan Project Completed in SAS.
  • Calculated annual and monthly returns for back tested assets with Market equity anomaly.
  • Results then fed into functions created in R to generate Terminal Wealth Chart that visualizes growth of unit investment over time Projects Completed in Minitab.
  • Solved statistical and time series analysis problems, including hypothesis testing, regressions, trend analysis, decomposition, exponential smoothing.
  • Forecasts are made to validate results of models MOHAN M.
  • Claire | XXX.XXX.XXX | resumesample@example.com|www.linkedin.com/in/mohanClaire Page 2 Projects Completed in Tableau & Power BI.
  • Analyzed energy consumption and production-related data of 4 states in USA through visualizations made in Tableau and Power BI Desktop.
  • Proposed possible ways to increase use of clean energy sources based on forecasted values of energy consumption and production.
  • Completed Exploratory Data Analysis (EDA) for data related to Heritage health prize to understand data and to decide.
  • Possible approaches to solve the problem.
Engineering Analyst, 01/2017 - 01/2019
Infosys Limited Pune, India, MH
  • Redesigned older automotive parts for use in new vehicles using CAD software such as CATIA, Unigraphics (NX) for luxury car parts manufacturer based out of Germany.
  • Proposed potential part quantity reduction ideas, helping client to consider other ways to slash inventory.
  • Provided new part designs using Solidworks.
  • Assessed data gathered in Excel, incurring 85M JPY (USD80K) in savings.
  • Created automation tools using Autohotkey and Excel VBA macros to automate recurring tasks, cutting time by 20% and allowing for multitasking that resulted in improving performance and efficiency of team.
Senior Engineer, 01/2015 - 01/2017
,
  • Guided and led three-person team in documenting off-highway vehicle assembly processes that aided the US-based top off-highway vehicle manufacturer in creating full-scale process plan.
  • Led important real-time project that garnered USD90K in annual revenue, directly impacting production on the client end; worked tirelessly to maintain direct client communication.
  • Automated and revamped processes to garner annual net savings of USD75K yearly, equivalent to 84% of cost to Infosys for client.
  • Revised billing using data analysis; generated additional revenue of USD22K yearly, a 25% net increase for the company.
  • Acknowledged by the Infosys Delivery Head and Delivery Manager for revenue increase in April of 2016; received appreciation from the Client General Manager as well Engineer 2013 - 2015.
  • Partook in two months training in aero-interior design for personal aircraft.
  • Motivated and led seven-person team to review drawings created in CAD software (CATIA), as part of Aircraft design project for world's largest aircraft manufacturer; trained new team hires, ensuring on-time delivery.
Systems Engineer Trainee, 01/2013 -
,
  • Engaged in intensive four-month Foundation Program (FP) training; completed with fair CGPA of 4.5/5.
  • Focused on the basics of Java, DBMS, My SQL, and building expertise in Aerospace Domain.
Education
Master of Science (MS): Business Analytics, Expected in Current
-
Rochester Institute of Technology - ,
GPA:
Status - GPA: 3.9
Bachelor of Engineering: Mechanical, Expected in 2012
-
Walchand Institute of Technology affiliated to Solapur University - ,
GPA:
Status - GPA: 3.34
Summary
Motivated, goal-focused, and technically adept Master's Degree student and emerging professional with years of academic and career experience to complement educational pursuits. Call on experience to find opportunities to solve real-world problems using data analytics tools and business knowledge in the automotive, aerospace, manufacturing, finance sector, and data analysis arenas. Expert in regression models, machine learning models, data collection, preprocessing/management, data visualization, and statistics. Practiced at interpreting analytical results and sharing insights with both technical and non- technical audiences in a manner that is easily understood. Now seeking an internship role at Tesla, Inc. that will allow for career growth and learning to complement current studies Core Competencies Business Metrics, Cross-Functional Teamwork, Interpersonal Communications (Marathi, Hindi), Customer Service, Time Management, Analytical Skills, Organization, Complex Problem Solving, Unconventional Thinking, Entrepreneurship, Tactical Decision Making, Attention to Detail, Strong Work Ethic, Business Writing
Certifications
Certified Data Analyst Using SQL, Edvancer Online 2020 Six Sigma - Green Belt, iACT Global Online, 2015 Business Fundamentals: Accounting, Finance, Marketing, Microeconomics, and Statistics, Smartly Harvard Manage Mentor (HMM): Soft Skills (in collaboration with Infosys)
Highlights
  • CATIA, Solidworks, Unigraphics (NX), Python, R, Tableau, Power BI Desktop, SAS, SQL, dplyr, ggplot2, Pandas, NumPy,
  • Matplotlib, Seaborn, Sci-kit learn, Keras, Tensorflow Data Operations (Cleaning, Management, Visualization, Feature
  • Engineering, Analysis), Probability/Statistics, NLP, Regression Analysis, Machine Learning Models (Random Forest, Gradient
  • Booster, LSTM), Marketing Analytics, Time Series Analysis, Hypothesis Testing, T-Test, Minitab, Microsoft Office, Excel VBA
  • Automate, Page 2
  • Automation tools, PdM
  • Automotive, POS
  • Billing, Processes
  • BI, Profit
  • CAD, Python
  • CATIA, Real-time
  • Com, Requirement
  • Client, Sales
  • Data Analysis, SAS
  • DBMS, Simulation
  • Delivery, Solidworks
  • Engineer, SQL
  • Equity, Statistics
  • Excel VBA, Tableau
  • Financial, Trend
  • Focus, Unigraphics
  • General Manager
  • Interior design
  • Inventory
  • Java
  • Machine Learning
  • Machine
  • Llearning
  • Macros
  • Market
  • Marketing
  • Excel
  • Microsoft Office
  • Word2
  • Word
  • Minitab
  • Multitasking
  • My SQL
  • NLP
  • Natural language processing
Skills
  • CATIA, Solidworks, Unigraphics (NX), Python, R, Tableau, Power BI Desktop, SAS, SQL, dplyr, ggplot2, Pandas, NumPy,
  • MMatplotlib, Seaborn, Sci-kit learn, Keras, Tensorflow Data Operations (Cleaning, Management, Visualization, Feature
  • EEngineering, Analysis), Probability/Statistics, NLP, Regression Analysis, Machine Learning Models (Random Forest, Gradient
  • BBooster, LSTM), Marketing Analytics, Time Series Analysis, Hypothesis Testing, T-Test, Minitab, Microsoft Office, Excel VBA,
  • Automate, automation tools, automotive, billing, BI, CAD, CATIA, com, Client, Data Analysis, DBMS, Delivery, Engineer, equity, Excel VBA, financial, focus, General Manager, interior design, inventory, Java, Machine Learning, Machine
  • Llearning, macros, Market, Marketing, Excel, Microsoft Office, word2, word, Minitab, multitasking, My SQL, NLP, natural language processing, Page 2, PdM, POS, processes, profit, Python, real-time, requirement, Sales, SAS, simulation, Solidworks, SQL, Statistics, Tableau, trend, Unigraphics
  • Additional Information
    • HONORS A ND A WARDS , Recipient of Annual Merit Scholarship at RIT for year 2019-2020 Recipient of Michael P. Morley '69 Endowed Merit Scholarship at RIT for the year 2020-2021 Selected among 20 students from department including undergraduate and graduate students to have Lunch with AACSB accreditation team Recipient of Maharashtra State Merit Scholarship at WIT for year 2009-2012

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    Resume Overview

    School Attended

    • Rochester Institute of Technology
    • Walchand Institute of Technology affiliated to Solapur University

    Job Titles Held:

    • Graduate Research Assistant
    • Engineering Analyst
    • Senior Engineer
    • Systems Engineer Trainee

    Degrees

    • Master of Science (MS)
    • Bachelor of Engineering

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