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Summary
3+ years of software experience in interpreting and analyzing data for driving business solutions. Skilled in python, R technologies with profound interest in machine learning and deep learning technologies.
Converted data into actionable insights by predicting and modelling future outcomes.
Utilized SQL, data warehousing programs, Tableau /QlikView visualization toolset for data intelligence and analysis.
Developed modules in python for gathering data from the annotation files .
Good working knowledge on python libraries like numpy, pandas,matplotlib and scikit-learn.
Extracted, compiled, and tracked data, and analyzed data to generate reports. Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis
Worked on SQL Server writing stored procedures, functions and views. Reviewed data and classified the tables/measures functions by using multiple queries, views and procedures
Good Working knowledge in different Machine Learning algorithms like SVM, Random forest, Linear Regression, Logistic Regression and K Nearest Neighbors .
Certified from Edureka on AWS tutorial for beginners which covered topics like AWS EC2, AWS S3, AWS Lambda, AWS Elastic Beanstalk, AWS VPC, AWS CloudFormation, AWS CloudFront, AWS CloudWatch and Multi-Factor Authentication .
Strong collaboration, team building, interpersonal, communication skills with proficiency at grasping new technical concepts quickly & utilizing the same in a productive manner.
03/2020 to 12/2020Data Analyst|DeveloperAMFAM | City, STATE,
Responsibilities:
Performed healthcare data extraction,data analytics(ETL) and prepared ad hoc reports to support claim and member data analysis.
Created data visualization report in tableau for claims data,generated dashboards for the project delivering insights graphically .Involved in SAS report development and responsible for creating weekly/monthly report and generate excel and tableau reports.
Worked on solutions to develop modules using python, REST based web APIs using XML and json.
Evaluated performance and implement remedies to improve performance, including tuning database parameters and SQL statements
Refactored complex stored procedures, functions, views based on the business requirement.
Experience in using GIT, Bit bucket version control system.
Effective communication skills both oral and written and strong analytical ,critical thinking and problem solving skills .Ability to work collaboratively within cross functional teams.
Worked simultaneously on multiple projects and effectively handled different clients and followed AGILE and sprint models.
08/2017 to 10/2019Data Analyst/Machine Learning EngineerTata Consultancy Services(client-INTEL) | City, STATE,
Involved in ETL process and database management, data mining, data cleaning,manipulating and storing data in database.
Developing ad-hoc reports using SQL, SSRS, Tableau to find the trends on different data sets and presenting the insights to the Team.
Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information.
Responsible for moderating the Intel AI community forum.
Prepared Excels to keep a track of the tickets that the Community forum would get every week and used calculations to draw conclusions on SLA’s and the users feedback.
Experienced in data manipulation using python and python libraries such as pandas,Numpy,Scipy and Scikit-learn for data analysis and machine learning.
Extracted Indian accident images from YouTube CCTV videos, processed images using LabelImg to get annotated files and implemented TensorFlow Object Detection API to detect accidents in images and identified the type of vehicle involved in an accident using Python and TensorFlow. Also used YOLO detection system to compare the accuracies .
Implemented Diabetic Retinopathy use case using TensorFlow and got 83% of accuracy in Python.
Worked on employees’ data to predict the salary of a new employee with different features given using ML algorithms.
Implemented bank notes classification used to classify the original notes and fraudulent notes which helps banks function appropriately using ML algorithms like Random Forest Classifier and Decision Tree and also applied Cross-validation Technique like K-fold to achieve better accuracy.
Used machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy.
Developed Docker Images with Deep Learning frameworks (Tensorflow, Caffe, Pytorch, MxNet) for deploying in various systems. These Docker Images are performance optimized, compatibility tested and ready to deploy.
Good Working knowledge in different Machine Learning algorithms like SVM, Random forest, Linear Regression, Logistic Regression, K Nearest Neighbors and so on.
Performed Live object Detection on movidius Stick. Trained images using Tiny Yolo framework which produces graph file and the trained model( SSD mobileNet in caffe) along with labels.txt which includes list of labels. This graph file is sent to the movidius NCSDK stick in order to predict the objects present in the live video stream.
11/2016 to 05/2017Internship StudentTata Consultancy Services | City, STATE,
Project Title: ASN.1 To Java Compiler
To create a grammar file which contains the grammar rules of the data modeling language Asn.1 and to perform lexical, syntax and semantic analysis on the ASN.1 files and to produce ,if needed, the corresponding error messages. JavaCC parser is used to generate the parser for this compiler.
Education and Training
Expected in Bachelor of Science | Computer Science And ProgrammingJNTU COLLEGE OF ENGINEERING, INDIA, GPA:
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