Hello!
This is Prem!

I'm a

Actively Seeking for Full-Time Opportunities in Data Science Field | Master's in Data Science @ UMBC | Ex-Data Analyst at TCS.

My Resume

About Me

Data Analyst

I’m a Master's student in Data Science at University of Maryland, Baltimore County (UMBC).

I have 2 years of experience as a Data Analyst Python Developer at Tata Consultancy Services.

I specialize in leveraging technologies like Python, Excel, Spark, SQL, Power BI, and Azure Data Factory to transform complex datasets into actionable insights, optimizing business outcomes.

I’m actively seeking full-time opportunities in Data Science, where I can apply my expertise to solve real-world challenges and contribute to impactful projects. Let’s connect!

Experience

May, 2024 - Present

UMBC, Data Science Department- Graduate Teaching Assistant

  • Conducted weekly class discussions and lectures for over 50 students in Machine Learning and Probability and Statistics for Data Science courses, improving comprehension by 20% based on student feedback.
  • Collaborated with faculty to design and develop course materials, including 12+ assignments and 2 exams per semester, ensuring alignment with learning objectives.
  • Performed proctoring and grading for overall assignments and exams, maintaining a 100% on-time grading rate.
  • Supported student learning through 10+ weekly office hours, providing academic assistance to address individual challenges and increase engagement.

Jan, 2021 - July 2023

TCS - Data Analyst Python Developer

  • Implemented ETL processes using Python and SQL, automating data integration tasks and reducing manual effort by 40%.
  • Created insightful reports using Power BI, enabling stakeholders to gain insights into key performance metrics.
  • Developed data models for the company's data warehouse, enabling efficient data storage and retrieval.
  • Employed Docker and Kubernetes for containerization and orchestration of applications, enhancing scalability and reliability.

March, 2020 - Aug, 2020

Phoenix Global Pvt Ltd - Full Stack Web Developer

  • Developed and maintained responsive web applications using HTML, CSS, JavaScript, and frameworks like React.js and Node.js
  • Designed and optimized RESTful APIs to enable seamless communication between front-end and back-end systems.
  • Built and managed databases using MongoDB and MySQL, ensuring efficient data storage and retrieval.
  • Collaborated with cross-functional teams to gather requirements and deliver scalable, user-friendly solutions
  • Implemented authentication and authorization features using JWT and OAuth for secure user access
  • Conducted performance optimization and debugging to improve application speed and reliability by 20%
  • Deployed applications to cloud platforms like AWS and managed version control using Git.

Education

2023 - 2025

Master of Science in Data Science - University of Maryland, Baltimore County

GPA - 3.5

Coursework: Data Analysis, Data Analytics and Machine learning, Data Management, Leadership in Data Science, Ethical and legal issues in Data Science, Big Data Processing, Healthcare Databases, Math and statistics, Natural Language Processing

2017 - 2021

Bachelor of Technology - GITAM University

GPA - 3.8

Coursework: Data Structures & Algorithms, Operating Systems, Database Management Systems, Computer Networks, Artificial Intelligence, Software Engineering, Web Development.

Skills

Languages and Databases

  • Python, SQL, R, C++, JavaScript, HTML, CSS, FastAPI, Streamlit, AngularJS, Flask, React, Bootstrap, MySQL, PostgreSQL, Microsoft SQL Server, Oracle, MongoDB, AWS, Docker, GitHub

Data Visualization

  • Power BI, Tableau, Microsoft Excel, Hadoop, Looker Google Analytics

Machine Learning / AI

  • NLP, LLMs, Deep Learning, TensorFlow, NumPy, Pandas, Computer Vision, Azure, Statistics, Machine Learning, Neural Networks, EDA, Apache Spark, ETL, Keras, Transformers, ChatGPT-4, Reinforcement Learning

Latest Projects

CareerFit: ATS Resume & Job Match Analyzer

Automated Image Captioning Using Generative AI

An AI-powered tool leveraging PyTorch, TensorFlow, and Hugging Face Transformers to fine-tune pre-trained images on the MS COCO dataset. Generating contextually accurate image captions using Transformer-based models. .

Employee Attrition Prediction

Employee Attrition Prediction

A machine learning-based tool that analyzes employee data to predict attrition, leveraging salary trends, experience, and performance reviews to identify key departure patterns.

Movie Rating Prediction

Movie Rating Prediction

A predictive analytics model using Apache Spark and HDFS to forecast movie ratings based on large-scale datasets.

British Airways Customer Reviews Analysis

Electric Vehicle Data Analysis

An interactive Tableau dashboard with MS Excel analyzing the exponential growth of electric vehicles (EVs) in the USA from 2011 to 2024! This project dives deep into adoption trends, geographic hotspots, and the rise of cutting-edge EV models reshaping the automotive industry.

Spotify Top 100: Analyzing Two Decades of Music Trends

Spotify Top 100: Analyzing Two Decades of Music Trends

An exploratory data analysis (EDA) project examining Spotify’s Top 100 tracks from 2000 to 2022. Insights include the most popular artists, genre trends, track characteristics, and evolving listener preferences over time.