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Hrishikesh D Dhole

@hrishikeshddhole

Data Analyst turning complex, multi-source data into actionable insights, forecasting, and stakeholder-ready recommendations.

India

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What I'm looking for

I’m looking for a data role where I can build reliable analytics and forecasting, deliver clear dashboards and decision-ready recommendations, and collaborate cross-functionally on continuous improvement—using reproducible pipelines and rigorous data validation.

I’m a Data Analyst with a Master’s in Data Science who turns complex, multi-source data into insights that shape strategy and decisions. I translate advanced analytics into clear, compelling recommendations for stakeholders at all levels, with a strong focus on forecasting, financial-data analysis, and data accuracy.

In my research role, I designed a modular Python framework to benchmark correlation-testing methods, building reproducible simulation and validation pipelines and developing new correlation edge-detection approaches while controlling false positives. I also consolidated large-scale, cross-platform customer feedback into a single analysis-ready dataset for sentiment and trend analysis, then delivered interactive Power BI dashboards and category-level insights that supported merchandising and marketing decisions. Earlier, I built an end-to-end hand-gesture recognition system with a real-time OpenCV inference pipeline, and I developed a full-stack Ruby on Rails content platform—experiences that sharpened both my modeling instincts and my ability to ship usable systems.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

Seattle University

Sep 2025 - Present (10 months)

Designed a reproducible Python framework to benchmark correlation-testing methods with controlled false-positive rates and built simulation/validation pipelines. Developed dashboards in Power BI and Python to communicate accuracy, power, and runtime and released a tested GitHub codebase with documentation standards.

Python Statistical Modeling Hypothesis Testing Data Simulation False Positive Control Power BI GitHub Data Validation Benchmarking

Data Analyst

Costco Wholesale

Jan 2025 - Jun 2025 (5 months)

Consolidated 400K+ comments and 61K+ posts from multiple public platforms into a single analysis-ready dataset and performed exploratory and trend analysis over 2014–2025. Built a Power BI dashboard with sentiment and engagement KPIs and advised merchandising/marketing stakeholders with category-level insights validated against manually labeled data.

Python Data Scraping Data Cleaning Deduplication data preprocessing Sentiment Analysis VADER BERT Power BI KPI Reporting Data Modeling

Software & Machine Learning Intern

Tantransh Solutions

May 2020 - Jun 2021 (1 year 1 month)

Architected and trained a dynamic hand-gesture recognition system and built a real-time OpenCV inference pipeline that mapped gestures to keyboard-event triggers. Developed a Ruby on Rails content platform with authentication, admin moderation, rich-text editing, image uploads, and SEO slugs, and optimized Ruby memory usage to reduce hosting requirements.

Keras TensorFlow ResNet SGD Optimization OpenCV Ruby on Rails Devise FriendlyId Garbage Collection Tuning

Education

Degrees, certifications, and relevant coursework

Seattle University

Master of Science, Data Science

2022 - 2025

Earned an M.S. in Data Science, covering coursework in big data analytics, statistical machine learning, feature engineering, data management, and artificial intelligence.

St. Vincent Pallotti College of Engineering & Technology

Bachelor of Engineering, Computer Engineering

2017 - 2021

Completed a B.E. in Computer Engineering with coursework in database systems, software engineering (SDLC), distributed systems, cloud computing, and object-oriented programming.