Education−

2025 - 2027

Master's in Data Science

University of Michigan - Dearborn

  • • Concentration: Computational Intelligence, GPA: 4.0
  • • Relevant Coursework: Machine Learning and Computational Statistics, Regression Analysis, Database Systems, Big Data, Operations Research, Data Analytics & Modeling, Deep Learning, Natural Language Processing, Intelligent Systems.

Experiences−

2023 - 2025

Data Analyst

Gearlaunch

  • • Served as the sole data analyst, managing the company’s end-to-end internal analytics infrastructure and presenting business analysis insights directly to C-level leadership and department heads.
  • • Implemented and optimized scalable data pipelines using SQL, Python, GCP, and Tableau, streamlining reporting workflows and increasing data processing efficiency by 3 times more data without additional infrastructure.
  • • Designed and deployed Machine Learning (Regression, Random Forest, XGBoost) and Time Series Analysis (AR, ARIMA, SARIMAX) to support e-commerce executive strategy; supporting annual sales KPIs increase by 20%.
  • • Analyzed data from 35,000 monthly active user stores with ad-hoc and automated analytics resulting in an average of 50% increase in marketing conversions and 30% decrease in customer’ tickets issues.

2023

Data Analyst Team Lead

VCCORP

  • • Managed a team of four to perform full-cycle A/B testing for recommendation engines deployment on 7 digital media websites, resulting in 10-30% monthly gains in core web KPIs.
  • • Designed and built automated A/B testing evaluation pipelines used in the company’s internal analytics platform, standardizing experiment analysis and reducing manual documentation by 5+ hours per week.
  • • Architected a reusable and scalable A/B testing framework that was later adopted as the foundation for a client-facing analytics product by the consulting teams.
  • • Maintained primary responsibility for advanced ad-hoc analysis across 3 digital publishing platforms, providing data-driven insights for editorial teams.

2021 - 2023

Data Analyst

VCCORP

  • • Designed and monitored 30+ KPIs of core products with automated dashboards and provided in-depth ad-hoc analysis for 5 digital publishing apps and websites.
  • • Developed user segmentation that helped increase app notification system engagement to 30% within 3 months.

Certifications−

2026

Neural Networks and Deep Learning Course Certificate

DeepLearning.AI

2026

Machine Learning Professional Certificate

DeepLearning.AI

2026

Generative AI Course Certificate

DeepLearning.AI

2026

GenAI Basics - How LLMs Work Certificate

Duke University

2021

Customer Analytics Course Certificate

University of Pennsylvania

2021

A/B Testing

Udacity

2021

Google Cloud Specialization

Google

2021

Google Data Analytics Professional Certificate

Google

Skills−

  • Machine Learning & AI: Regression, Classification, Tree-Based Models (Decision Trees, Random Forest, Gradient/XGBoost), Deep Learning (Neural Networks, CNNs, RNNs), Time Series Analysis, K-Means Clustering, Recommendation System.
  • Languages & Frameworks: Python (Pandas, Scikit-learn, NumPy, Matplotlib, Seaborn, Tensorflow, PyTorch), SQL, PySpark.
  • Analytics: Data Modeling, ETL, Data Mining, Segmentation, A/B Testing, Analytical Reporting.
  • Big Data Platforms: Apache Spark, PySpark, Hadoop, Google Cloud Platform (Big Query, Vertex AI, Google Datastore)
  • Collaboration Tools: Git, GitHub, Jupyter Notebook, Google Colab, Microsoft Office.
  • Data Visualization and BI Tools: Tableau, Power BI, Looker, SAP, SAP Cloud, Excel.
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