About Me
Data Scientist & Analyst with 7+ years of experience designing scalable data and machine learning systems across telecommunications, e-commerce, and digital marketing. I build end-to-end solutions covering advanced SQL and Python pipelines, machine learning models, predictive analytics, NLP, and LLM-based applications, deployed on cloud-native architectures (AWS, Azure, GCP). Strong expertise in Power BI and Tableau for decision-focused dashboards, attribution modeling, and KPI frameworks. Known for translating complex data into systems that drive real business action, not just reports.
What I Do
Business Intelligence & Dashboards
Designing and building interactive dashboards in Power BI, Tableau, and Amazon QuickSight. Creating KPIs and metrics that drive actionable business insights and strategic decision-making.
Data Analysis & Statistics
Conducting comprehensive exploratory data analysis, hypothesis testing, regression analysis, and A/B testing. Using statistical techniques to uncover patterns and validate business assumptions.
Attribution & Marketing Analytics
Analyzing multi-channel campaign performance, conducting attribution modeling, and optimizing marketing spend. Providing data-driven recommendations for audience targeting and budget allocation.
Predictive Analytics & Forecasting
Developing regression models, time-series forecasting, and predictive analytics. Building models for customer churn prediction, lifetime value estimation, and demand forecasting.
AI-Assisted Analytics
Leveraging Large Language Models, ChatGPT, and NLP for automated sentiment analysis, insight generation, and intelligent reporting. Applying AI to enhance analytics workflows and decision-making.
Customer Analytics
Developing customer segmentation models, lifetime value analysis, churn prediction, and retention strategies. Creating actionable customer insights for product and marketing teams.
Recent Experience
Data Scientist
Jun 2023 - Present
Larkin Company (Fully remote)
Contributed to digital marketing projects, developed predictive models, and built Power BI dashboards for client stakeholders.
Data Analytics Engineer
April 2019 - December 2021
Roshan Rooz Company
Designed data models and reports, improved marketing ROI, and automated data collection processes.
My Side Projects
Data-driven Marketing Dashboard
Developed multi-touchpoint attribution models to analyze customer journey and optimize marketing spend across channels. 30 days Sales Forcast. Sales Recommendations and So on.
Python, Django, Scikit-learn, ...
Semiconductor-Insights
Semiconductor Manufacturing Analysis Dashboard, an interactive tool designed to streamline the analysis of semiconductor manufacturing data.
Python, Streamlit, Scikit-learn, Time Series Analysis
AI Psychologist: Your Digital Companion for Mental Wellness
This AI-powered tool aims to provide users with guidance, resources, and a listening ear to help them navigate their thoughts, emotions, and challenges.
NLP, Sentiment Analysis, LLM, Chatbot
Depression Detection on Social Media
This project predicts depression using Reddit comments. By leveraging machine learning, natural language processing (NLP), and embeddings, it identifies depression-related text patterns.
Python, Text Preprocessing, Feature Extraction, Bidirectional LSTM
PowerBI Data Visualization Dashboards
Comprehensive business intelligence dashboards showcasing advanced data visualization techniques, interactive reporting, and key performance indicators across multiple business domains.
PowerBI, DAX, Data Modeling, Business Intelligence
Sentiment Analysis Dashboard
Interactive web application for real-time sentiment analysis of text data, featuring advanced NLP techniques, emotion detection, and comprehensive analytics with intuitive visualizations.
Python, NLP, Machine Learning, Flask/Django, Text Processing