Rajitha Pandiniboyini
adgskn@r.postjobfree.com 813-***-**** LinkedIn
Summary:
Passionate resource with exceptional Machine Learning, Data Analytics, Data Engineering, Business System Analysis, Project Management experience and Full stack development amalgamated in 7.5 years of extensive techno-functional expertise in four leading IT firms.
Experienced working as Machine Learning Engineer on COVID19 research project which includes analyzing data at a deeper level and proposing various versions of algorithms (supervised & unsupervised ) as per project requirements followed by preparing proof of concepts for suggested approaches.
Experienced working with various python/pyspark algorithms which includes EDA, data pre-processing, data pipelining,designing, performing rigorous testing, various metric calculations such as bidirectional sensitive analysis(sensitivity & specificity),etc.
Experienced creating generalized python scripts as per project requirements which served as automation and reduced employee effort to 100%.
Designed an efficient and scalable algorithm in python for a huge data along with sensitive analysis for a real time
project as per business requirement and achieved targeted accuracy with rigorous test data, which enhanced quick turn
around time by 60% and reduced 20% of employee effort saving cost to company.
Highly knowledgeable in all the concepts related to data analysis and data mining
Experienced working with Statistical/predictive modeling techniques (Python for machine learning methods such as
decision trees, random forests, neural networks and text analysis for predictive analysis based on Big Data.)
Experienced working with Machine Learning and Artificial Intelligence research projects with various organizations.
Experienced working with deep learning mechanisms(unsupervised)
Highly experienced in reviewing the statistics and machine-learning literature
Proficient in R, Python, TensorFlow, PyTorch, SAS,SQL, Hadoop, pig/Hive/Impala and Spark, Spark ML and MS Office Suite
Highly knowledgeable in Big Data environment which includes Big Data architecture, performing Exploratory data Analysis which helps in understanding trends & patterns, building Machine Learning models, predicting & validating.
Experienced working on FDA submissions
Worked as SME which includes taking the ownership of the applications end-to-end such as requirement gathering from various clients, entire SDLC lifecycle, UAT, deployment, working with clients to understand/resolve production issues, documenting the project process and issues with solutions, publishing the documentation in project website, etc.
Worked as a Single point of contact for one Complete Line of business(Investment Banking) when working with JPMorgan Chase & Co.
Proven interpersonal skills in managing a team sized 30+ as a Scrum Master in Agile.
Quick/Self learner with exceptional skills, for which got recognized as outstanding performer in all the projects.
Accomplished few project through Free Lancing along with providing inclass/online training .
Education:
Master of Science in Business Analytics and Information Systems
University of South Florida, Tampa, FL
Bachelor of Technology in Electronics & Communication
G. Narayanamma institute of Technology and science, India
Technical Skills:
Languages: SQL, Python, PyTorch, R, SAS,NO SQL, Python Flask, C#
Tools: Anaconda Navigator (Anaconda3), Pycharm, R Studio, Databricks, SAS Enterprise Miner, Cassandra, Visual
Studio, MS Office, GitHub
Machine Learning: Supervised and unsupervised learning, Linear and Logistic Regression, Neural Networks, K-NN,
Decision Trees, Random Forest, Ensembles, Bagging and Boosting, K-Means Clustering, Collaborative
Filtering, SVM, Naïve Bayes, Predictive Modelling, Statistical Modelling, Hypothesis Testing, Bayesian Optimization,
Gaussian Processes, Image Classification, Deep Learning.
BI Tools: Tableau, Power BI
Cloud Technologies: Azure, AWS
Experience:
COVID19 project Machine Learning Engineer-Kaligia Biosciences
The goal of the project is to detect Corona virus using signals generated from digitized saliva instead of nasal swab or blood where the data is received from Tampa General Hospital & Advent Health
Designed many python/pyspark algorithms satisfying project requirements along with designing Machine learning models which includes deep learning mechanisms
Prepared test data to perform rigorous testing on data to check algorithm performance using various metrics.
Prepared automated python scripts to reduce employee effort by 100%
Worked on FDA submissions
Real Time Bidding Research Project(Mobile handset industry) Data Analytics Intern-Mobile Walla
The goal of the project is to assign a unique ID for each mobile based on given user data like ipaddress, apps installed,
Geo locations, device details, etc. There is no unique attribute in the dataset for a given user profile making it
the most challenging part of the project. In spite of many challenges I was able to design an algorithm which satisfied the
requirement across test data from different countries.
Referred many literatures to get a detailed understanding of the business requirement
Used pyspark/python to perform ETL operations on data which includes data preparation & data validation.
Performed a detailed Statistical & non-statistical Analysis on data using pyspark(SQL) along with various quantitative
and qualitative analysis methods
Built many Machine Learning models like regression,ensemble decision tree modeling, look alike modelling,
Clustering, etc. using pyspark/python.
Designed an efficient and scalable python algorithm which enhanced quick turn around time by 60% and reduced
20% of employee effort saving cost to company.
Performed data stratification to increase model/algorithm performance.
Used various Evaluation metrics such as Accuracy, Confusion Matrix, MSE/MAE, Learning Curve to analyze and interpret data reports/results and making recommendations accordingly.
Also used bidirectional sensitive analysis to validate algorithm performance.
Survey Analysis Research Project Research Intern-Tampa General Hospital
Performed analysis on Training Survey data by segregating Survey results into various themes
Used classical factor analysis on themes using programming software such as R and Python for analyzing and validating.
Prepare consolidated reports with quantitative analysis and data visualization to provide actionable insights. This report helps to increase the program efficiency by 100% reducing the need of manual input.
Recommended the best training program/Structure based on trends which helps to achieve Organization goals
Relevant Projects related to coursework:
Well-Being Artificial Intelligence chatbot USF Project
Created an AI bot which analyses the user input by detecting emotion and replies accordingly(Used python to perform
Text analytics).The implementation of machine learning in the product prototype has increased the bot performance by 100%
reduced the need of manual effort saving cost to company. Deployed the Chatbot in Cloud using Python Flask
Created and maintained a database using SQL to capture user’s inputs
Predicting Flight Delay Analysis Spring 2020
Performed Exploratory data analysis which helps to work with correlation, Feature selection, Feature extraction, etc
Developed machine learning models such as clustering & regression using pyspark
Recognition and Retrieval of Mathematical expression Spring 2020
• Performed image selection, rescaling, extraction, cleaning and classification in python thereby implementing various
techniques such as Pandas, Numpy, Scikitlearn, TensorFlow,etc
Data Mining Project-Detecting Parkinson’s Disease in patients Fall 2019
Built non regression models to predict Parkinson’s Disease by analyzing voice samples; used SAS enterprise miner.
Data Analytics Project using R-Cab Trip Analysis Fall 2019
Performed data selection, extraction, cleaning and exploratory data analysis using different statistical techniques on Kaggle dataset, employing hypothesis testing and cross-validation to analyze cab trips data to forecast future trips.
Developed various regression model exploiting Multilevel regression and Time Series Analysis to perform statistical analysis using R in R studio.
Previous Experience:
ITC infotech, Philips Healthcare client, India Jul 2015-Mar 2018
Wipro Technologies, Clients-JPMorgan Chase & Co., Lloyds Banking Group and EMC2 Jan 2012- Jul 2015
Hewlett Packard Aug 2010- Jan 2012
Achievements:
Outstanding performer from Hewlett Packard GlobalSoft ltd.
Champion at work from Wipro for JPMorgan Chase & Co. Client.
Technology champion from ITC infotech.
Take ownership from PHILIPS.
Team up to Excel from PHILIPS.