Summary
Overview
Work History
Education
Skills
Projects
Extracurricular Achievements
Timeline
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Aditya Kingrani

Los Angeles,CA

Summary

Highly skilled Data Analyst with comprehensive experience in interpreting and analyzing complex data sets. Proficiency in statistical software, data mining, and predictive modeling techniques contributes to robust decision-making processes. Demonstrated ability to streamline operations by identifying trends and improving data reporting efficiency. Known for effectively translating technical information to multiple stakeholders for increased understanding and strategic planning.

Overview

2
2
years of professional experience

Work History

Statistical Analyst

Genius Sports
Los Angeles, United States
05.2024 - 08.2024
  • Attend an average of 10 soccer matches in leagues such as USL, NISA etc per month to collect and report real-time game data using Genius Sports' proprietary data collection tools and Statcast software.
  • Generate and analyze post-game reports using video analysis tool WyScout for each event, incorporating over 100 data points per game using Python and Tableau for identifying key performance metrics and trends.

Data Analyst Intern

Diversity Infotech
Surat, India
01.2023 - 06.2023
  • Analyzed software development workflow data using process mining techniques, such as process discovery and conformance checking, leveraging tools like SQL and Python for data analysis.
  • Conducted an analysis of customer feedback data using sentiment analysis techniques, leveraging NLP libraries like NLTK and spaCy, resulting in actionable insights that contributed to a 20% increase in project delivery speed.

Data Scientist Intern

Technocolabs Softwares
Indore, India
09.2022 - 10.2022
  • Analyzed 50,000 financial transactions from stock market data to develop a predictive model using machine learning algorithms, achieving a 15% improvement in stock price trend prediction accuracy for fintech clients.
  • Built an automated data pipeline that processed 100,000 daily market entries, reducing data processing time by 30% and enabling faster generation of business intelligence reports.

Education

Master of Science - Applied Data Science

University of Southern California
Los Angeles, United States
05.2025

Master of Science - Football Tactical Analysis

Football Science Institute (Online)
Granada, Spain
12.2024

Bachelor of Science - Computer Science Engineering,Information Technology

SRM Institute of Science And Technology Kattankulathur
Chennai, India
05.2023

Skills

  • Languages and Databases: Python, R, Java, MySQL, SQLite, MongoDB, NoSQL, Postgres, VectorDB, ChromaDB
  • Data Cleaning: Pandas, Numpy, OpenCV, PCA, TSNE, Tidyverse, BeautifulSoup, Dplyr, kernLab
  • Data Visualization: Seaborn, Matplotlib, plotly, PowerBI, Spotfire, ggplot2, Tableau
  • Machine Learning: Scikit-Learn, NLTK, SciPy, TensorFlow, Keras, Spacy, ARIMA, SARIMA
  • Technologies: AWS,Git, Google Cloud, Docker, WyScout, Longomatch, Streamlit, Snowflake, Flask, LangChain, LLamaindex, OpenAI API, FAISS, HUDL

Projects

English Premier League Fixtures Prediction Model 

  • Analyzed historical English Premier League (EPL) fixture data, encompassing over 10 seasons and 380 matches per season, to identify patterns and trends in match outcomes.
  • Implemented machine learning algorithms such as logistic regression and random forest to predict the results of upcoming EPL fixtures with an average accuracy of 90%.

Image-based Product Recommendation System 

  • Conducted preprocessing of an extensive e-commerce dataset comprising 50,000 high-resolution product images spanning 143 distinct article types.
  • Generated real-time product recommendations and deployed the model with front-end interface using Streamlit and Flask.

Extracurricular Achievements

  • Leveraged leadership and teamwork skills through participation in semi-professional soccer tournaments, serving as both a player and a referee.
  • Demonstrated exceptional language skills by securing Gold, Silver and Bronze medals in the French Olympiad across multiple years.
  • Pursuing an online master’s degree in football tactical analysis, focusing on leveraging data to evaluate match strategies and performance.
  • Achieved a global ranking of 10th in the Sports Olympiad, highlighting my athletic versatility and competitive drive on an international stage.

Timeline

Statistical Analyst

Genius Sports
05.2024 - 08.2024

Data Analyst Intern

Diversity Infotech
01.2023 - 06.2023

Data Scientist Intern

Technocolabs Softwares
09.2022 - 10.2022

Master of Science - Applied Data Science

University of Southern California

Master of Science - Football Tactical Analysis

Football Science Institute (Online)

Bachelor of Science - Computer Science Engineering,Information Technology

SRM Institute of Science And Technology Kattankulathur
Aditya Kingrani