Hi, I'm Sayam

Data Scientist

High performing candidate with an ability to perform under high pressure situation and deliver tangible outcomes

sayampalrecha1@gmail.com +1 (703)-928-9345 LinkedIn
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data.scientist

1+ years of industry experience, Strong Python, R and SQL

Contact Me

Feel free to reach out for collaborations or just a friendly chat.

Email

sayampalrecha1@gmail.com

Phone

+1 (703)-928-9345

LinkedIn

linkedin.com/in/sayampalrecha/

Projects

Showcasing my expertise through real-world applications and data-driven solutions.

Market Strategy and Portfolio Returns

Market Strategy and Portfolio Returns

Python ML Financial Analysis

Implemented K-Means clustering to group S&P 500 stocks and optimized portfolios using a mean-variance framework to maximize Sharpe ratio.

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WeedGuard - Smart Weed Detection

WeedGuard - Smart Weed Detection

Computer Vision YOLOv5 Deep Learning

Full-stack Computer Vision project to identify weeds in crops using YOLOv5 with 88.34% accuracy, reducing crop wastage by 12% in rural India.

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Credit Card Fraud Detection

Credit Card Fraud Detection

Logistic Regression Data Modeling EDA

Designed a Logistic regression model using 8 parameters to predict credit payment defaults, reducing data error by 10% through extensive cleaning.

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Movie Recommendation System

Movie Recommendation System

NLTK NLP Recommendation System

Developed a vector-based movie recommendation system using NLTK library on the IMDB dataset with over 5000 movies.

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Data Visualization Dashboard

Data Visualization Dashboard

Tableau Power BI Data Visualization

Created interactive dashboards to visualize complex healthcare data, enabling stakeholders to identify key trends and make data-driven decisions.

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Predictive Analytics Model

Black-Scholes Model

Financial Markets Machine Learning Time Series

Python implmentaion of Blac-Scholes Model.

Live Demo

Using data science to solve complex problems

I combine statistical analysis with machine learning techniques to extract valuable insights from complex datasets and build data-driven solutions.

Data Analysis

Exploring and analyzing complex datasets to extract valuable insights and patterns.

Machine Learning

Building predictive models and algorithms that learn from data and improve over time.

Statistical Analysis

Applying statistical methods to interpret data and support decision-making processes.

Python Programming

Proficient in Python and libraries like Pandas, NumPy, scikit-learn, and TensorFlow.

Data Visualization

Creating clear, effective visualizations to communicate complex data insights.

Database Management

Working with SQL and NoSQL databases to store, retrieve, and analyze large datasets.

Education & Work Experience

My academic journey and professional experience in the field of data science.

April 2025 - Current

George Washington University Regulatory Studies Center

Data Science Research Specialist

Building scripts, dashboards, and automated workflows using Python and RShiny for regulatory data for the centre's flagship Reg-Stats repository, along with maintenance of existing code base.

May 2025 - July 2025

George Washington Institute of Public Health

Teaching Assistant for Analysing Data with R

Assisted in teaching the graduate-level R course for a class of 20 students

August 2024 - May 2026

George Washington University

Master of Science, Data Science

Relevant courses: Stochastic Calculus, Deep Learning, Data Warehousing, Data Visualization

GPA: 3.8/4.0

Recipient of the Global Leaders Award worth $17,100

2023

Research Intern

Xu Lab, Carnegie Mellon University

Reduced space and time requirements for 3D cell mapping projects through hyperparameter tuning, resulting in a 15% efficiency boost.

2023

Medical Research Intern

Indian Institute of Technology

Developed an Unsupervised Source-free Domain adaptation model for early pneumonia detection in MRI and CT-scans.

Jan 2022 - November 2022

Data Engineer

ABC Constructions

Built SQL-driven dashboards to support inventory management, performed data cleaning, feature engineering, and correlation analysis on large customer datasets to optimize analytical variables and derive insights.

2020 - 2024

Savitribai Phule Pune University

Bachelor of Engineering, AI & Data Science

Relevant courses: Statistics, Machine Learning, Reinforcement Learning, Pattern Recognition, Data Structures and Algorithms

GPA: 3.72/4.0