About Me
Data Scientist | Analytics Engineer | MLOps Enthusiast. I build intelligent, scalable data systems that turn insights into action. Specializing in predictive modeling, NLP, LLMs and cloud-native architectures (AWS, Azure, GCP), I deliver end-to-end solutions that combine technical depth with business acumen. Passionate about solving complex data challenges and driving measurable impact. My IT and Data Science education, combined with proficiency in Python, SQL, and visualization tools, equips me to address complex data challenges and drive impactful results.
What I Do
Exploratory Data Analysis
Conducting comprehensive EDA to uncover patterns, anomalies, and relationships in data. Using statistical techniques and visualization to understand data distributions and inform hypothesis testing.
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.
Sales & Marketing & Attribution Analytics
Analyzing multi-channel campaign performance, conducting attribution modeling, and optimizing marketing spend. Providing data-driven recommendations for audience targeting and budget allocation.
Predictive Modeling & ML
Designing, training, and validating machine learning models (classification, regression, clustering) using Scikit-learn and advanced frameworks. Applying cross-validation and rigorous evaluation techniques.
NLP & Text Analytics
Developing NLP pipelines for sentiment analysis, topic modeling, and text classification. Leveraging LLMs and advanced ML frameworks to extract insights from unstructured text data.
Data Engineering & ETL
Building end-to-end ETL pipelines for data ingestion, transformation, and loading. Designing scalable data infrastructure on AWS with optimization for analytics and ML workflows.
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.
View DetailsData Analytics Engineer
April 2019 - December 2021
Roshan Rooz Company
Designed data models and reports, improved marketing ROI, and automated data collection processes.
View DetailsMy 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