Mohammad Sahil
Data Analytics with 2+ years of freelance experience delivering Python automation, web scraping, data extraction, ETL, data cleaning, exploratory analysis, and business reporting solutions.
Strong academic foundation in statistics, machine learning, predictive analytics, data mining, and business analytics, complemented by hands-on experience building scalable analytics solutions that transform complex data into actionable business insights and support data-driven decision-making.
Experience
Data Analyst & Python Automation Developer
Fiverr
Delivered freelance solutions involving Python automation, web scraping, ETL workflows, and analytics.
Built scalable scraping pipelines using Selenium, Beautiful Soup, Requests, and REST APIs.
Automated repetitive business processes, reducing manual effort and improving accuracy.
Cleaned, transformed, validated, and analyzed structured and unstructured datasets using Python, Pandas, NumPy, and SQL.
Generated analytical reports and dashboards to support client decision-making.
Worked with dynamic websites, authentication, pagination, rendered pages, and anti-bot mechanisms.
Education
University of Allahabad
Master of Computer Applications
Relevant Coursework: Machine Learning, Business Analytics, Big Data Systems, Deep Learning, Predictive Analytics, Data Mining.
University of Allahabad
Bachelor of Computer Applications
Relevant Coursework: Python Programming, Data Engineering, DBMS, Statistics, Software Engineering, Computer Networks.
Skills
Projects
Sales Forecasting Dashboard
Built an interactive sales forecast dashboard using Python, Power BI, and time series forecasting techniques.
Historical sales trends analyzed to generate demand forecasts and identify seasonal patterns.
Developed KPI dashboards to monitor revenue, forecast accuracy, and product performance for data-driven decision-making.
Intelli Forensics – Secure Digital Evidence Management System
Developed a secure digital evidence platform using Python, Streamlit, SQLAlchemy, and SQLite.
Implemented RBAC, SHA-256 integrity verification, audit logs, and chain-of-custody tracking.
Designed secure evidence upload, verification, and case management workflows.
Mental Health Analysis Using NLP on Social Media Data
Built an NLP pipeline for sentiment and mental health analysis using TF-IDF and Scikit-learn.
Applied text preprocessing, feature engineering, and classification models including SVM and Logistic Regression.
Evaluated models using accuracy, precision, recall, and F 1-score.