Hi,
I'm Palak

I'm a

Seeking Full-Time Opportunities in the Data Science | MS Data Science @ UMBC | ex-Data Analyst at Cognizant | Expertise in Data Science, Analysis, Visualization, ML, NLP, Deep Learning, Cloud and AI.

My Resume

About Me

Data Analyst

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

I have 3+ years of experience as a Data Analyst at Cognizant.

I specialize in leveraging technologies like Python, 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, 2024 - Present

UMBC RTTP Math Program - Data Analyst

  • Conducted data-driven scheduling analysis for 11 Baltimore City Schools and 1 Baltimore County Public School, optimizing tutor allocation and achieving a 95% session start rate with 100% on-time tutor arrival.
  • Developed automated scheduling systems aligned with school timetables, improving session coordination, increasing attendance rates to 90%.
  • Utilized SAGA and Reveal lesson planning optimization to analyze student performance and resource allocation data, enhancing tutor preparedness by 20% and improving overall program efficiency.

Feb, 2020 - Aug, 2023

Cognizant- Data Analyst

  • Engineered and optimized data pipelines, leveraging machine learning models to process large-scale healthcare datasets, significantly enhancing decision-making processes for Biogen’s drug trials.
  • Applied advanced quantitative techniques, including Linear Programming, to develop and refine distribution strategies, achieving an 85% utilization rate across clinical testing locations.
  • Designed and implemented innovative data management solutions and algorithms for patient data analysis, streamlining CRM workflows and boosting patient retention by 32%.
  • Deployed fuzzy matching algorithms to identify and reduce data duplication within a 1.5M+ record database, improving data accuracy by 20%.

Education

2023 - 2025

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

GPA - 3.992

Relevant Courses: 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

2016 - 2020

Bachelor of Engineering - Savitribai Phule Pune University

GPA - 3.80

Tech Stack

Languages and Databases

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

Data Visualization

  • Power BI, Tableau, Microsoft Excel, Looker, Visio, Alteryx, Hadoop, Google Analytics, Gephi

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

CareerFit: ATS Resume & Job Match Analyzer

An AI-powered tool leveraging NLP and machine learning to extract skills from resumes, compare them with job descriptions, and compute a match score.

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

British Airways Customer Reviews Analysis

An interactive Tableau dashboard analyzing 5,000+ customer reviews of British Airways. The project visualizes trends in ratings by month, country, and aircraft type, offering user-driven insights with dynamic filters and key visualizations.

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.