Prathamesh Sawant

I'm

Experienced Data Analyst with a passion for transforming data into actionable insights. Skilled in predictive modeling, data visualization, and machine learning to drive business decisions.

Scroll Down

My introduction

I am a Data Analyst with expertise in predictive modeling, data visualization, and machine learning. I have experience working with tools like Tableau, Python, SQL, and various machine learning frameworks to deliver data-driven solutions. My goal is to leverage data to drive business decisions and improve operational efficiency.

Technical Skills

Python SQL Scikit-learn Power BI Tableau SSRS PostgreSQL Streamlit Power BI PostgreSQL MongoDB Git Power Query A/B Testing

Data Analyst | HAVAS Media (Contract)

Sept 2023 – Dec 2024 | London, UK

Led advanced analytics for multi-platform advertising campaigns, optimizing audience targeting and campaign performance using predictive modeling.
Designed and deployed interactive Tableau dashboards for real-time monitoring of viewer behavior and content performance metrics.
Spearheaded the development of audience segmentation models using Python and SQL.

Junior Data Analyst | Capgemini

Mar 2021 - Aug 2023

Developed interactive dashboards and reports using Power BI and Tableau to visualize and analyse medical and pharmaceutical data, enabling stakeholders to monitor key performance indicators (KPIs) and make data-driven decisions.
Performed exploratory data analysis (EDA) on pharmaceutical datasets to identify trends, patterns, and anomalies, providing actionable insights to support business decisions.
Conducted data cleaning, transformation, and analysis on large datasets related to patient outcomes, drug efficacy, and clinical trials using SQL and Python, ensuring data accuracy and reliability.

Generative AI Smart Tutor

Developed an adaptive learning platform using Gemini Pro API, personalizing content for computer science students. Implemented real-time test data analysis and integrated NLP for intuitive Q&A.

Twitter Sentiment Analysis

Engineered a sentiment analysis system using ML models with 82% accuracy. Implemented text preprocessing and visualization techniques to analyze 32,000+ tweets.

Churn Prediction Model

Built a machine learning model using Logistic Regression to predict customer churn, achieving an accuracy of 78% and analysed customer behaviour data to identify key factors contributing to churn, such as usage patterns and customer demographics.

Find Me

Email: hello@prathamesh.co.uk

Tel: +44 7767941258

About Me