Pratik Sontakke

Data Analyst

Pune, Maharashtra, India 1+ yrs exp 87 · Excellent

About

Results-driven Data Analyst with hands-on experience in data cleaning, exploratory data analysis (EDA), dashboard development, and predictive modeling. Proficient in SQL, Python, Power BI, and Tableau with a track record of delivering actionable insights that drive business decisions. Experienced in CRM data management, customer segmentation, and presenting data-driven findings to stakeholders. Seeking to leverage strong analytical and visualization skills to support data-informed decision-making.

Skills & Expertise (29)

Data Visualization Intermediate

5.5/10

Years Exp

Data Analysis Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Machine Learning Intermediate

5.0/10

Years Exp

SQL Intermediate

5.0/10

Years Exp

Pandas Intermediate

5.0/10

Years Exp

Excel Intermediate

5.0/10

Years Exp

TensorFlow Intermediate

4.5/10

Years Exp

Tableau Intermediate

4.5/10

Years Exp

Power BI Intermediate

4.5/10

Years Exp

Google Cloud Platform Intermediate

4.0/10

Years Exp

Statistical Analysis Customer Segmentation HubSpot CRM CNN LSTM Stakeholder Reporting KNN presentations Data Cleaning Reporting Data Transformation Seaborn Matplotlib scikit-learn MongoDb Oracle MySql EDA

Work Experience

Data Processing Analyst (Intern)

Breathe Again

Feb 2025 - Nov 2025

Cleaned, structured, and validated large-scale customer datasets using Excel and Google Sheets, ensuring 100% data accuracy for reporting and business decision-making. Developed and maintained HubSpot CRM databases, improving lead tracking efficiency and enhancing customer segmentation to support targeted marketing campaigns. Designed scalable Notion-based project tracking databases, improving cross-functional team workflow visibility and reducing manual reporting time. Delivered regular data quality reports to stakeholders, translating complex datasets into clear, actionable findings.

Data Science Intern

NullClass

Apr 2024 - Jun 2024

Built a real-time audio-based emotion detection system using Python and the TESS dataset, achieving measurable accuracy improvements through iterative model refinement. Designed and deployed an intuitive GUI for live speech analysis, enabling non-technical stakeholders to interact with model outputs directly. Conducted EDA and visualized model performance metrics to support collaborative testing and feedback cycles.

Data Science Intern

Intrainz

Apr 2024 - Jun 2024

Developed a KNN-based product recommendation engine for an online retail platform, resulting in a 10% increase in average order value. Performed data cleaning and feature engineering on customer transaction datasets to optimize model input quality. Analyzed purchase patterns and presented data-driven insights to stakeholders to support personalization strategy.

Data Science Intern

Bharat Intern

Jun 2023 - Jul 2023

Predicted Google stock prices using LSTM neural networks, conducting extensive EDA and feature selection to improve forecast reliability. Created data visualizations and trend analysis reports for mock stakeholders, demonstrating findings in a clear, business-friendly format. Tuned model hyperparameters systematically, improving accuracy and reducing prediction error across test datasets.