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Tanya Sabarwal

@tanyasabarwal

Data analytics and machine learning professional skilled in Python, SQL, and predictive modeling for end-to-end business impact.

India

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What I'm looking for

I want to work on data analytics and machine learning projects where I can use Python, SQL, and Power BI to deliver end-to-end insights—building predictive models, clean pipelines, and dashboards that stakeholders can trust and act on.

I’m a Microsoft certified Associate with an MSc. in Data Science and Analytics (Merit) and hands-on experience delivering 3+ end-to-end data solutions. I combine extensive analysis with predictive modeling on large multimodal datasets in both research and commercial settings.

In my Data Analytics Intern role, I queried and transformed datasets from web-analytics, customer, and sales using SQL and Python (Pandas). I delivered exploratory analysis that surfaced actionable insights for market analysis and strategic forecasting, and I built an interactive Power BI dashboard to track KPIs and improve reporting integrity.

As a Machine Learning Research Intern, I built Python-based ETL workflows to transform 20,000+ raw agricultural records into analysis-ready inputs. I led end-to-end supervised model development (Random Forest, XGBoost, regression) using feature engineering, cross-validation, and hyperparameter tuning to improve predictive accuracy by 15%, then deployed outputs via a Streamlit app for non-technical stakeholders.

My projects reinforce how I approach data: robust preprocessing, thoughtful modeling, and clear communication. From an Indian Sign Language Recognition System using Python/TensorFlow/OpenCV to coral bleaching prediction with statistical analysis and regression tuning, I focus on turning complex signals into decision-ready insights.

Experience

Work history, roles, and key accomplishments

Brand Ambassador

N2O Limited

Jan 2025 - Jun 2026 (1 year 5 months)

Collected customer feedback from 1,500+ interactions to identify behavioral patterns and support brand activation strategies. Coordinated with cross-functional teams and brand partners (Tesco, Boots, RHS) to deliver activations aligned with brand objectives.

Customer Feedback Customer Engagement Brand Activation Stakeholder Management Cross Functional Collaboration

Data Analytics Intern

AdVenture NorthEast

Aug 2024 - Oct 2024 (2 months)

Queried and transformed structured data from web-analytics, customer, and sales sources using SQL and Python to create analysis-ready inputs. Built a Power BI dashboard for KPI tracking and performed exploratory analysis to surface actionable insights for market analysis and forecasting.

SQL Python Pandas data transformation Power BI KPI Tracking Data Validation

Machine Learning Research Intern

MSRF

Mar 2022 - Sep 2022 (6 months)

Developed Python-based ETL workflows to transform 20,000+ raw agricultural records into analysis-ready datasets while addressing data quality constraints. Built and tuned predictive models (Random Forest, XGBoost, regression) and deployed results via a Streamlit application for non-technical stakeholders.

Python ETL Data Quality Random Forest XGBoost regression Feature Engineering Cross Validation Hyperparameter Tuning Streamlit predictive modeling

Education

Degrees, certifications, and relevant coursework

University of Leeds

Master of Science (MSc), Data Science and Analytics

2023 - 2024

Grade: Distinction

Activities and societies: MSc dissertation award (Distinction); Microsoft Excel Associate certification; dissertation work on predicting coral bleaching using climatic factors and ENSO cycles.

Earned an MSc in Data Science and Analytics with a Distinction for the dissertation and an IEEE-published paper. Completed a Microsoft Excel Associate certification highlight during the program.

SRM Institute of Science and Technology

Bachelor of Technology (B.Tech), Computer Science & Engineering

2019 - 2023

Grade: First-Class with Distinction

Activities and societies: Final-year IEEE-published research; co-authored and presented at ICESC-2023 on an Indian Sign Language character recognition system.

Completed a B.Tech in Computer Science & Engineering, graduating First-Class with Distinction. Co-authored an IEEE-published research paper during the final year.