HEY! I'M NEHA MORE

BI Professional - Data Analyst - Data Scientist

Welcome to my Analytics Hub

About Me

Welcome to My Online Space!

Greetings! I'm a Mumbai-based analytics and tech enthusiast with a flair for data and a passion for innovation. With over four years of experience, I've carved my niche as a Business Analyst, Risk Analyst, and BI Developer working with renowned organizations like Barclays, Edelweiss Tokio Life Insurance, and Datamatics. My passion lies in creating data-driven solutions that enhance decision-making, mitigate risks, and drive innovation.

During a career break, I embraced resilience and pursued my interests in financial engineering and quantitative systematic trading. This period allowed me to develop a fully automated proprietary trading system using Python and Power BI. Currently, I’m actively involved in research and development of modeling systems for systematic trading in the Indian equity markets.

In my recent roles, I've been instrumental in implementing data-driven solutions to streamline operations, optimize processes, and enhance decision-making. Leveraging a diverse toolkit of ML & Analytics frameworks, including R Studio, Python, Tableau, and Power BI, I've led projects aimed at automating reporting processes, improving data quality management, and detecting and mitigating risks.

I hold certifications in Microsoft Power BI, Algorithmic Trading, Lean Six Sigma, and Advanced SQL, reflecting my commitment to continuous learning. These skills complement my educational background—an MBA in Business Operations & Analytics and a Bachelor's in Computer Science.

Beyond work, I find joy in yoga, trekking, and exploring culinary arts—activities that fuel my creativity and well-being.

Feel free to explore my projects on GitHub or reach out for collaboration, mentorship, or discussion. Let’s create impactful solutions and achieve growth together!

View My Portfolio View My Resume View My Certifications

Tech Stack:

Python - R Programming
- Machine Learning
SQL - Big Query - GCP
Tableau - Power BI
Systematic Trading - Pine Script - Quantitative Finance

Quantitative Finance : Python And Power BI

Fundamental Analysis: Python & PowerBI
Company Fundamental Analysis

Fundamental Analysis N500


A fully automated process integrates Python and Power BI to identify fundamentally strong stocks efficiently using Web Scraping and major KPI analysis

Daily Stock Screener System: Python & PowerBI
Stock Screener

Daily Automated Stock Screener N500


Project involves a fully automated daily stock screening and analysis of potential N500 stocks using python and powerbi.

R Programming: Machine Learning Projects

Machine Learning Analytics
Decision Trees and Random Forest Classification Modeling

Predicting Loan Defaulters


Model Building to Predict whether Customers will Succesfully Repay the Loans or No.

Clustering and Segmentation
K - Means Clustering Algorithm

Wine Quality Segmentation


Classifying the wines into appropriate distinguished Optimal Clusters having similar chemical properties in each clusters.

Machine Learning Analytics
Linear Regression Predictive Modeling in R

Real Estate Price Prediction


A Regression Model which Predicts the Property Prices based on distinguised parameters.

Machine Learning Analytics
Decision Trees and Random Forest Regression Modeling

Sales Prediciton of Counterfeit Medicines


Build predictive model for predicting sales figures given other information related to counterfeit medicine selling operations.

Time Series Analysis
ARIMA Model in Manufacturing Industry

Forecasting Tractor Sales


A Time Series ARIMA model to forecast sale / demand of Tractors for next 3 years for a farm equipment manufacturing company.

Machine Learning Analytics
Logistic Regression Predictive Modeling in R

Bank's Marketing Campaign


A Regression Model which Predicts Customers to be Targeted in order to roll out term deposits by a bank.




R Programming: Statistical Exploratory Data Analysis Projects (EDA)

Statistical Analysis Mini Project
Univariate Statistics

Statistical Data Analysis


Exploring Univariate Statistics in R and analysing patients being treated with Arthritis.

Data Preparation Mini Project
Income Data Preparation of a Population

Data Preparation in R


Project involves data preparation of a dataset which includes income ranges and various attributes of a population belonging to a region in order to make it fit for futher analysis and model building.

Feel Free To Get In Touch With Me!