Analysis & BI
Exploratory analysis, KPI reporting, dashboarding, Tableau, spreadsheet modeling, and stakeholder-ready summaries.
Boston, MA - Open to data roles
Dipesh Tha Shrestha
Data analyst and data engineer with a computer science background, hands-on Python and SQL experience, and a habit of turning messy information into usable decisions.
MS
Computer Science, Data Science concentration
Python
Pandas, NumPy, scikit-learn, XGBoost
SQL
Analysis, reporting, dashboards, BI
About
Building practical data products with a business lens.
Dipesh is a recent Master of Science in Computer Science graduate from Fitchburg State University with a concentration in Data Science. His work spans data analytics, data engineering, machine learning, software development, IT support, digital marketing, and business operations.
He is focused on full-time opportunities where he can clean and model data, build dashboards, analyze trends, improve reporting, and support teams that rely on clear technical decisions.
Data Analytics
Data Engineering
Business Intelligence
Machine Learning
Skills
Technical range
Core tools and practices Dipesh uses to move from raw data to insights, models, and decision support.
Python & ML
Python, Pandas, NumPy, scikit-learn, XGBoost, feature engineering, model training, and evaluation workflows.
Databases
SQL, MySQL, data cleaning, database-driven problem solving, querying, joins, transformations, and reporting logic.
Product & Web
Web development, Git, GitHub, UI thinking, SEO, digital marketing, and operations experience from small business work.
Experience
Work history
A mix of data-minded technical work, business operations, IT support, and marketing execution.
Graduate Student - Fitchburg State University
Focused on computer science with a data science concentration, including analytics, database work, and machine learning foundations.
Co-Founder - Dev Water Solution
Led digital marketing, supported business operations, managed customer feedback systems, and helped expand water purification services.
Digital Marketing Intern - Pedal Group
Analyzed campaign data, monitored social and website performance, prepared reports, and adjusted marketing strategy from performance trends.
IT & Sales - DS Water & Home Appliances
Supported hardware, software, networks, security practices, client relationships, reporting, and sales operations across officer and supervisor roles.
Projects
Selected work
Projects that show practical software development, data thinking, and product execution.
Machine learning
Used Car Price Prediction System
End-to-end prediction workflow using vehicle data, data cleaning, feature engineering, exploratory analysis, model training, and price prediction.
Python
scikit-learn
XGBoost
Web application
Pani Chaiyo
Water ordering web application concept designed to simplify customer ordering and service coordination.
Web
Operations
Mobile app
Attendance Application
Flutter app for recording classroom attendance, reducing manual effort, and improving reporting accuracy.
Flutter
Mobile
Desktop app
Dice Rolling Application
Interactive Python and Tkinter desktop application for dice simulation and GUI practice.
Python
Tkinter
Education
Academic path
MS in Computer Science, Data Science concentration
Fitchburg State University
MS coursework in Cybersecurity with AI emphasis
Webster University
Bachelor of Computer Science (Hons)
Sunway International Business School
Recruiters, founders, and data teams
Let's talk about data work that needs clarity and momentum.
Dipesh is open to full-time roles and collaborations in data analytics, data engineering, BI, and machine learning-adjacent product work.