MASTERS IN DATA SCIENCE

VISHVESH WALUNJ

+1-703-***-**** ****************@*****.*** linkedin.com/in/vishveshwalunj

EDUCATION

University of Maryland College Park, Master of Science in Data Science (Aug 2024 – Aug 2026) Ramrao Adik Institute of Technology, Bachelor of Engineering in Computer Science (Aug 2018 - May 2022) Academics: CGPA: 8.16/10.00

WORK EXPERIENCE

Cognizant Technology Solutions India Private Limited Mumbai, India Programmer Analyst Trainee (Aug 2022 – Aug 2023)

● Certified and Trained in PEGA Digital domain with skills like PEGA BPM Process Modelling, Pega UI Development, Business Rule Development in Pega, Pega UI Design. Programmer Analyst (Sep 2023 – Feb 2024)

● Certified System Architect (CSA), Experience in analysis, design, development, testing and maintenance of BPM application using PEGA 8.8 tool. Knowledge on implementation of various PRPC component like Decision Rules, Validation Rules, Circumstance Rules and Declare Expression.

● Familiar with various debugging tools like Tracer, Clipboard and live UI. Worked on Data Model, Process Flow, Activity and User Interface.

PROJECTS AND COURSES

Data Analysis with Python : Zero to Pandas, Jovian

● Completed 6 modules, 3 assignments and 1 major project in this course and gained hands-on experience with data analysis tools and libraries, including Python, Jupyter notebooks, Pandas, Numpy, ScikitLearn, Matplotlib and more.

● Performed EDA on ‘population-by-country-2020’ dataset from kaggle, using the following python libraries - numpy, pandas, matplotlib, seaborn, plotly.

● Performed EDA on ‘Educational survey all over the world dataset from kaggle, using the following python libraries - numpy, pandas, matplotlib, seaborn.

● Performed EDA on vaccination status all over the world using ‘covid-world-vaccination-progress’ dataset from kaggle, which included downloading the dataset, Data preparation and cleaning, exploratory data analysis, visualization. Machine Learning with Python : Zero to GBMs, Jovian

● Gained hands-on experience with Machine Learning tools including various Algorithms, practical introduction to supervised machine learning, decision trees, and gradient boosting using Python. Learned key analytical skills, such as data cleaning, analysis, and visualization.

● Developed a machine learning model to classify exoplanets using Kepler data, implementing advanced preprocessing, feature engineering, and ensemble modeling (Random Forest, XGBoost, SVM) to improve classification accuracy, handle class imbalance (SMOTE), and optimize model performance with hyperparameter tuning, achieving a final accuracy of 93%.

● Developed a machine learning model for real estate price forecasting using Sberbank housing and macroeconomic data, implementing advanced feature engineering, hyperparameter tuning, ensemble learning

(Random Forest + Gradient Boosting + Ridge Regression), and time series analysis (SARIMA, LSTM, Hybrid SARIMA-LSTM), achieving an optimized RMSE of 1.62 million with the top 50 features.

● Worked in a 3-person team and created a machine learning repository including comparison of accuracy of various machine learning models like Artificial Neural Network, Random Forest Regression, Support Vector Regression in predicting ‘fuel consumption of vehicles’ using python with random forest giving the highest accuracy of 98.060%. Data Structures and Algorithms in Python, Jovian

● A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. EXTRACURRICULAR ACTIVITIES

Leo Club of Vashi Gold -Participated in various social service activities and activities like: Conducting weekly teaching sessions for Children residing at a slum, visiting old age homes in Navi Mumbai etc. Aniruddha Upasana Kendra - Active Member in this organization which involves various charitable initiatives, blood donation campaigns etc. Dubbing And Voice Over - Completed a Dubbing and Voice-over course andearned a certificate successfully. SKILLS AND TOOLS

Python (Numpy,Pandas,Matplotlib,Seaborn,Scikit-learn), SQL, HTML5, CSS, Javascript, MS Excel/Google Sheets, Tableau, Data analysis, Statistics, Machine Learning, Natural Language Processing, Data Visualization.

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