HARSHITH OBEROI

New Brunswick, NJ,***** 732-***-**** Github Linkedin ad2t6r@r.postjobfree.com EDUCATION

Rutgers University, New Brunswick, NJ

Master of Science in Data Science 12/2024

Relevant Coursework - Probability and Statistical Inference, Regression and Time Series Analysis, Data Structures and Algorithms, Statistical Models and Computing, Financial Data Mining, Data Wrangling Data Management.

Manipal University Jaipur, India

Bachelor of Technology in Information Technology 08/2020 Relevant Coursework - Operating Systems, Python, ML, Data Science, Python. PROFESSIONAL EXPERIENCE

Capgemini (Client – Mercedes Benz Research & Development, India) Senior Analyst 09/2022- 07/2023

• Developed AI/ML-driven testing framework (AIDTF) for Mercedes Benz, using Random Forest, reducing validation time by 60%, and enhancing management of over 1000 test cases.

• Executed critical analysis of Mercedes-Benz microservices and API usage trends, resulting in targeted service reductions. Achieved a 30% increase in operational efficiency and significant maintenance cost savings.

• Designed and implemented specialized Grafana dashboards, delivering key insights into product usage patterns. Capgemini (Client – Mercedes Benz Research & Development, India) Analyst 03/2021 – 09/2022

• Spearheaded the Mercedes-Benz Architecture framework development, achieving a 40% boost in design efficiency and a 25% faster system integration, leveraging advanced modeling and ontology/meta-models.

• Architected and programmed user interfaces and automated tools, resulting in an 85% reduction in model creation steps, showcasing process optimization skills.

Itronix Solutions, India

Data Science Intern 01/2020 – 06/2020

• Devised a predictive model for COVID-19, utilizing diverse machine learning techniques to attain 87% accuracy in trend analysis.

• Accomplished comprehensive data analysis using Python, Pandas and Matplotlib, generating insightful reports and visualizations for client datasets.

PROJECTS

Socioeconomic Dynamics of Crime Reporting R, Regression, Random Forest, Ggplot 12/2023

• Analytically assessed National Crime Victimization Survey data, employing regression and Random Forest to reveal key socioeconomic influences on crime reporting, achieving an adjusted R of 0.63.

• Performed advanced analysis of crime reporting trends, focusing on critical variables such as income and age, using random forest classification to pinpoint significant predictors. InsNova Insurance Company Modeling Problem (Kaggle Competition) Python, XGboost, CatBoost 12/2023

• Orchestrated precise claim cost predictions for the Insnova Insurance company dataset using machine learning algorithms like XGBoost and Catboost and enhancing market competitiveness and customer segmentation resulting in a Gini Index of 0.218, propelling our team to a second-place finish on the Kaggle leaderboard. Corona Virus Analysis and Predictor Python, Regression, SVM, Matplotlib 04/2020

• Implemented thorough exploratory data analysis on coronavirus data using Python, Pandas, and NumPy.

• Achieved 87% accuracy in predicting virus spread over the next 10 days using machine learning algorithms, including Linear Regression and SVM Kernel Support Vector Machine.

SKILLS SUMMARY

• Language and Databases: Python, R, SQL (MySQL, PostgreSQL), Java

• Libraries: Pandas, NumPy, Matplotlib, SKlearn, TensorFlow, Keras, OpenCV, PyTorch, Scikitlearn, Seaborn. Ggplot

• Tools: Jupyter, R Studio, Grafana, Github, Excel, Tableau, Power BI, Rhapsody, EWM

• Technical Skills: Statistical Modeling, Data Mining, Data Visualization, Machine Learning, Data Management, Predictive Analysis

CERTIFICATES AND ACHIEVEMENTS

• Microsoft Certified Azure Fundamentals - Microsoft 2022

• Machine Learning – Regression, Classification, University of Washington, Coursera 2019

• Introduction to Databases and SQL Querying, Udemy 2018

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