Saisrijith Reddy Maramreddy

Data Scientist | Python • R • SQL

About Me

I am a data analyst currently pursuing a Master’s in Statistics at Zicklin School of Business, with a strong foundation in machine learning, statistical modeling, and data-driven decision-making.

My coursework and projects reflect deep experience in regression, multivariate methods, and advanced data mining using Python, R, and SQL. I am actively seeking roles in data science, statistical modeling, and quantitative research.

My goal is to apply analytical thinking and technical expertise to solve real-world business problems and drive impact in data-intensive environments.

Experience

BCITS Pvt Ltd

Data Analyst Intern

Sept 2022 – July 2023

  • Led data cleansing and predictive modeling for Smart City Solutions
  • Improved billing accuracy by 15% and customer satisfaction by 20%
  • Built dashboards for KPI monitoring using R and Excel

Augment Softsol

Management Trainee

July 2015 – July 2016

  • Managed recruitment for technical roles and evaluated SaaS tools
  • Partnered with IT and Finance to reduce licensing costs by 10%

Education

Zicklin School of Business, NY

MS in Statistics

Expected Dec 2025

  • GPA (current): 3.93
  • Relevant coursework: Regression Analysis, Statistical Inference, Multivariate Methods, Machine Learning, Data Mining, Advanced Data Analysis, Probability

Imperial College Business School, London

MS in Investment & Wealth Management

Sept 2021 – Sept 2022

  • Honors: Merit Classification
  • Project: Evaluated Microsoft’s acquisition of Pinterest using valuation models

Pennsylvania State University

BS in Industrial Engineering

Aug 2016 – May 2020

  • GPA: 3.83
  • Dean’s List (All Semesters)

Certifications

  • Python Bootcamp – Udemy: Mastered OOP and timestamp manipulation in Python
  • Python for ML & Data Science – Udemy: Regression, NLP, and clustering with Pandas, Scikit-learn, and Seaborn
  • Finance Data with Python & Pandas – Udemy: CAPM, Sharpe Ratio, and MPT for portfolio optimization

Skills

  • Programming & Analysis: Python, R, SQL, SAS, Excel
  • Modeling & Analytics: Machine Learning, Predictive Modeling, Statistical Analysis, Financial Modeling
  • Visualization & Reporting: Quarto, Overleaf (LaTeX), Data Visualization
  • Tools & Platforms: Bloomberg Terminal, Capital IQ