Supratim Sarkar | Aspiring Data Analyst

Supratim Sarkar

Aspiring Data Analyst

Based in Amsterdam

About

As a passionate Data Analyst, I thrive on turning raw data into actionable insights. With a solid background in computers and analytics, I've led impactful projects and collaborated with cross-functional teams to drive business growth during my internships and capstone projects. My curiosity, technical prowess, and communication skills are a driving factors towards successfully building top projects with data. Excited to contribute my expertise to shape the future through data-driven strategies.

Skills

Projects

Heart disease prediction

Predicting heart disease using machine learning This notebook looks into using various Python-based machine learning and data science libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.

Airbnb Forecasting Product for New York City

In this project we build a model to to improve the accuracy of Airbnb's forecasts of daily demand for its New York properties. To achieve this I built a state-of-the-art forecasting product that utilizes KPIs and helps Airbnb grow its business.

Twitter Bot

Twitter bot that uses Tweepy API to perform various functionalities on Twitter and ensures smooth automation

Covid19Vaccination Status Tracking

Built an interactive dashboard to derive key insights and information about the performance of vaccines around the world

Kaggle BullDozer Price Prediction

Given certain attributes and SaleDates,a Regression model based on RandomForestRegressor is made to predict the prices of Bulldozers in the market sale. Numpy,Pandas and Scikit-learn libraries have been used .The project is made using Jupyter Notebook and regression Machine Learning models are used

MS Excel dashboard using Starbucks Data of coffee sales

In my Coffee Sales Dashboard project, I created an interactive Excel dashboard to visualize and analyze coffee sales by country and identify the top 5 customers. It offers valuable insights into sales trends, enabling data-driven decision-making with engaging graphs and interactive features.

BudgetManagement Dashboard

Money management app built in Python that showcases an interactive dashboard | Dataset used is my own bank statement | It gives insight into future planning,budgeting and savings

HR Dashboard

A comprehensive data-driven tool leveraging MySQL and Power BI to analyze 22,000 employee records spanning the years 2000 to 2020. This interactive dashboard offers valuable insights into gender, race, age distributions, remote vs. headquarters employees, tenure, turnover rates, and more.

Experience

2020-2021

Junior Data Analyst at Colas (Tarmac Uk )

Collected and took part in interpreting data, analysing results. | Identified patterns and trends in data sets for optimal building material use | Communicated findings and proposed improvements to others | Workied alongside the data and process team members to establish targets and understand challenges | Identifed and implemented master data process improvements | Maintain master data records, when required and Assisted in the interpretation of internal and external benchmarks | Provided dashboards for review by the senior team every week

01/2023-06/2023

Data Scientist intern at Hylife Innovations,Holland

During my internship at Hylife Innovations, I tackled the forecasting algorithm challenge by applying my expertise in Python, time series analysis, and machine learning models I processed historical heat demand data, normalized outside temperatures, and explored various forecasting models like ARIMA and LSTM. Created dashboards and insights to report to my team for heat demand profiling of the protoype housing model. My efficient approach delivered accurate predictions, enabling data-driven decisions for energy optimization. I am eager to bring this successful experience and passion for innovation to my future employers.

09/2022-11/2022

Teaching Assistant at Vrije Universiteit Amsterdam

Devised curriculum and taught about Software development processes and design methods for a given use case involving SoaML, UML diagrams and lifecycle methods.Graded assignments of groups in charge. Used data science skills to choose optimal course content and grading methods from and from previous year feedback and performance.Made an interactive dashboard in Tableau to provide statistics about student performances and their project composition and how the next year curriculum should be devised Assessed and catered to student needs by providing one-to-one support and guidance.

Education

2021-2023

Masters in Computer Science

University of Amsterdam

2017-2021

Bachelors in Computer Engg

Vellore Insitute of Technology