Data Scientist

Contact

+971 581830122

[email protected]

Abu Dhabi, UAE

Key Skills

Languages

Python (pandas, numpy, sklearn, dash, seaborn, keras, tensorflow), R (tidyr, dplyr, ggplot2), SQL, C++

Analysis

A/B Testing, Hypothesis Testing, Bayesian statistics

ML

Clustering, Regression, Classification, LLM, NLTK, LSTM, Collaborative Filtering, Computer Vision

Tools

Git, Kaggle, HuggingFace, Tableau, Excel, VSCode, RStudio, Jupyter, Azure

Education

Bachelor of Science in Industrial Engineering & Management Oklahoma State University Stillwater, OK, USA May 2016

Focus: Optimization Algorithms, Statistics, Linear Algebra, Business Fundamentals

Certifications

IBM Data Science Issued by Coursera

Cloud Essentials Issued by AWS

Databricks Fundamentals Issued by Databricks

Awards & Honors

Global Tech Hackathon

2nd out of 118 teams

Public Speaking finalist

6th out of 150 candidates

Professional Affiliation

Statistics Without Borders

Engineers Without Borders

IISE

Languages

• English (Fluent)
• Spanish (Basic)
• Indonesian (Basic)
• Hindi (Intermediate)
• Tamil (Intermediate)

Professional Summary

Data Scientist with experience leveraging advanced analytics and machine learning techniques to solve complex business problems and deliver data-driven insights. Proven ability to build and deploy machine learning models, conduct rigorous statistical analysis, and create compelling visualizations to communicate findings to diverse audiences. Expertise in Python, R, SQL, and BI tools like Google Looker Studio, Power BI, and Tableau. Passionate about using data to drive impactful decision-making and improve business outcomes.

Professional Work Experience

Freelance

Data Consultant

Heilbronn, Germany (Remote) | Aug 2024 - Present

• Custom data solutions for various clients depending on their requirements.
• Experience working with startups and larger scale organizations.

**Orion Innovation**

Data Scientist

Kochi, India (Hybrid) | Dec 2022 - July 2024

• Built a comprehensive performance product using XGBoost, Random Forest, and LSTM for forecasting individual and team performance, training recommendations, and contract values. Applied NLP techniques with NLTK for athlete sentiment analysis.
• Explored computer vision techniques (OpenCV) through video data analysis, focusing on object detection and keypoint tracking to assess performance as potential solutions for sales teams.
• Led AI adoption and innovation within the organization, presenting proof-of-concept models to stakeholders, increasing visibility and driving new business opportunities.
• Involved in data solution projects for major clients (Liverpool FC, Football Association of England, National Rugby League, AFL, Crystal Palace FC), contributing analytically to stakeholder decision-making processes.
• Generated 1.7 million synthetic data points with HuggingFace and Kaggle to improve model accuracy and performance evaluation.
• Created visually engaging front-end interfaces through Flask applications, Google Looker Studio, and Power BI and presented to diverse audiences.
• Application developed was recognized in Top 10 in the GSIC Groundbreakers Innovation Challenge, contributing to increased company visibility and generating potential revenue streams.

FPL Analytics

Data Analyst

India (Remote) | September 2020 - May 2021

• Scraped and analyzed 50,000+ rows of performance data weekly using Python (Beautifulsoup) and visualized insights using R and ggplot2.
• Achieved a 160% jump in rankings from 3.7M to 1.4M position using modeling strategies from a pool of 7 million participants.

**University of Exeter & Center for Homelessness Impact**

Research Assistant

India (Remote) | September 2020 - May 2021

• Collaborated with academic teams to synthesize data and conduct qualitative and quantitative research for 120+ studies on a systematic review aimed at developing effective programs to address the homelessness crisis in the UK.

**Proagrica**

Quality Test Engineer II

Oklahoma City, US | August 2016 - July 2019

• Oversaw unit-testing (REST API) for 5+ terabytes of customer data, ensuring stability across 70+ software releases and validating data integrity.
• Enhanced product quality by contributing to feature development, backlog grooming, UI/UX reviews, and led automation efforts - reducing testing time by 40%.