Hi, I'm Pritam Banerjee

Student, Data Analyst

Name: Pritam Banerjee

Profile: Student(M.Sc. Data Science)

Email: pb.banerjee342@gmail.com

Phone: 6291755062

Skill

PYTHON 90%
SQL 95%
POWERBI 90%
MACHINE LEARNING 90%
EXCEL 70%
About me

Dedicated Data Science master's student with a solid foundation in Statistics, Python, SQL, PowerBI, Excel, Machine Learning, and Natural Language Processing (NLP). I am currently interning as a Data Analyst at Digital Sherpa, where I contribute to data-driven projects, leveraging my skills to extract actionable insights and support business decisions.

Throughout my academic journey and hands-on projects, I have applied my expertise in data analysis, predictive modeling, and NLP to solve real-world challenges. My experience includes analyzing complex datasets, building predictive models, and developing interactive dashboards to provide clear and impactful insights.

I am now seeking opportunities for full-time Data Analyst positions, where I can continue to apply my skills in a dynamic environment to drive data-informed decision-making and support organizational growth.

Follow me on LinkedIn

Internship

September 2024-Present

Data Analyst

Digital Sherpa, Kolkata

Digital Sherpa is a NextGen digital service & development company with a laser-like focus on leveraging the power of Process Automation and AI.

  • Collaborating on a software asset management project to streamline and optimize software usage and compliance.
  • Analyzing andmanaging software installations and usage data to support cost-effective decision-making.
  • Utilizing the SAM tool to identify and categorize software assets and ensure accurate tracking of inventory.
  • Conducting data-driven reporting to help improve software asset lifecyclemanagement and align with business objectives.

April 2024-May 2024

Data Scientist (Virtual)

Academor, Bengaluru

Academor, an innovative Ed-Tech firm revolutionizing e-learning through advanced AI technology.

  • Built a Web App to predict the Flight Price using XGBoost Regressor with MAE Rs.1435 and R2 Score of 75%. Deployed on Streamlit (Minor Project).
  • Built a Spam Classifier Web App using BernoulliNB model with accuracy 98% and precision 100% and deployed on Streamlit Cloud.(Major Project).

Project

Below are the sample Data Analytics projects on SQL, Python, Power-Bi & ML.

Whatsapp Chat Analysis using PYTHON

Made an web application to analyse both group and personal whatsapp chats.Also Deployed on Streamlit Cloud

IPL Analysis using POWER-BI

Used Power-Bi for data cleaning, data analysis and to make report for all IPL seasons from 2008 to 2024

Predictive Modelling and Report Making for Customer Churn

Used SQL for data cleaning, Python for churn prediction and Power-Bi to make report for overall churn analysis and prediction

Google Playstore Case Study using SQL

Took the google playstore dataset, cleaned using Python and made 10 questions to perform a case study.

SMS Spam Classifier

Built a spam classifier webapp using BernoulliNB model with accuracy 98% and precision 100% and deployed on Streamlit Cloud.


More Projects on GitHub