Aditya Mukherjee

Data Analyst & Machine Learning Enthusiast
Dhanbad, IN.

About

An analytical and results-driven Bachelor of Technology student with hands-on experience in data analysis, predictive modeling, and machine learning. Proven ability to translate complex datasets into actionable insights, enhance forecasting accuracy by 17%, and drive strategic decision-making, utilizing expertise in SQL, Python, Power BI, and advanced analytics tools to optimize business outcomes.

Work

Anabi.ai
|

Data Analyst Intern

Remote, N/A, N/A

Summary

Led data analysis initiatives to enhance customer satisfaction, optimize marketing campaigns, and improve forecasting accuracy for a Gen-AI driven platform.

Highlights

Developed embedded Gen-AI dashboards for automated campaign tracking, boosting customer satisfaction by 10% through enhanced metrics and aligned strategies.

Analyzed data-driven insights and financial data to increase customer success rates by 10%, fostering loyalty through cross-functional collaboration.

Enhanced forecasting algorithms, improving accuracy by 17% and contributing to securing new brand partnerships and driving business growth.

Volunteer

Indian Institute of Technology (ISM) Dhanbad
|

Student Placement Representative

Dhanbad, Jharkhand, India

Summary

Led initiatives to enhance student employability through coordinating placements, workshops, and establishing industry relationships.

Highlights

Coordinated placements and conducted workshops to enhance student employability at IIT (ISM) Dhanbad.

Established key industry relationships, significantly improving career opportunities for students.

FotoFreaks, the photography club of IIT (ISM)
|

Event Head

Dhanbad, Jharkhand, India

Summary

Directed a 50-member team in organizing photography events and managing logistics to boost club engagement.

Highlights

Led a team of 50 to successfully organize multiple photography events, significantly enhancing club engagement.

Managed event logistics from planning to execution, ensuring seamless operations and positive participant experiences.

Education

Indian Institute of Technology (Indian School of Mines) Dhanbad
Dhanbad, Jharkhand, India

Bachelor of Technology

Mechanical Engineering

Awards

Public Speaking Champion (2nd Place)

Awarded By

IIT (ISM) Dhanbad

Secured 2nd place out of 400 participants in a competitive public speaking event at IIT (ISM) Dhanbad.

Bronze Medal for Digital Photography

Awarded By

InterIIT Cultural 6.0

Awarded a Bronze Medal for an outstanding photo story in the digital photography section during the InterIIT Cultural 6.0 event.

Languages

English
Hindi

Skills

Data Analysis & Statistics

Analytics, Predictive Analytics, Statistics, Market Research, Data Cleaning, Data Transformation, Financial Analysis.

Programming Languages

Python, SQL, C, C++, HTML.

Data Visualization & Tools

Excel, Tableau, Power BI, PostgreSQL, Google Analytics, MySQL WorkBench, Google Colab, Pivot Tables, Slicers.

Machine Learning & Modeling

Time-Series Prediction, ARIMA, LSTM, EMA, RSI, Bollinger Bands, Back-testing, Model Performance Evaluation (RMSE, R2 Score, Sharpe Ratio, Max Drawdown).

Project & Product Management

Product Management, Project Planning, Prioritization, Logistics Management.

Soft Skills

Communication, Presentation, Collaboration, Problem-solving, Stakeholder Management, Strategic Decision-making.

Interests

Sports

Badminton, Cricket, Swimming.

Photography

Digital Photography, Event Photography, Photo Storytelling.

Projects

Saswat Store Annual Sales Analysis

Summary

Prepared annual sales reports and developed an interactive dashboard using MS Excel to visualize sales data, identify key trends, and provide actionable recommendations for strategic decision-making.

HR Analysis and Dashboard

Summary

Developed a comprehensive HR analytics solution using MySQL and Power BI to analyze employee data, identify key trends, and deliver actionable insights for strategic decision-making.

Algorithmic Trading Model Development for BTC/USDT

Summary

Developed and back-tested an algorithmic trading model using Python, time-series prediction, and machine learning techniques, achieving a 15% average return over six months.