Srikrishna Thapa

Srikrishna Thapa

Data Analyst | Big Data Analytics Graduate | Python & SQL Expert

📍 Collingwood, Ontario | 📧 srikrishnathapa912@gmail.com

Data Analyst with Graduate Certificate in Big Data Analytics and AI certification in progress. I specialize in turning complex data into strategic business insights using Python, SQL, and machine learning.

Proven results: 79.7% ML model recall in churn prediction and 15% revenue growth identification through advanced analytics.

15,000+ Records Analyzed
3 Major Projects
79.7% ML Model Recall

My teaching background gives me a unique ability to communicate technical findings to diverse stakeholders and translate complex analysis into actionable business strategies.

Projects

🤖

Telco Customer Churn Prediction | Machine Learning Project

November 2024 – December 2024
  • Model Selection & Performance: Achieved 79.7% recall in identifying at-risk customers by engineering an end-to-end ML pipeline, selecting a tuned Logistic Regression model over 4 complex alternatives (XGBoost, LGBM, RF, NN) to prioritize churn detection.
  • Full-Stack Development: Developed and deployed a full-stack Flask web application with a modern UI for real-time predictions and a bulk-processing system for batch analysis of CSV/Excel files.
  • Business Strategy Translation: Translated model coefficients into actionable business strategies, identifying that two-year contracts reduce churn risk by 76% while fiber optic service was the highest risk factor.
  • Data Engineering: Engineered a comprehensive data preprocessing workflow using Scikit-learn and handled class imbalance with SMOTE, boosting model performance on the minority (churn) class.
💻 Technologies: Python, Flask, Scikit-learn, XGBoost, Plotly, Pandas, SMOTE, Joblib, HTML/CSS
🔋

Renewable Energy Investment Efficacy Analysis | Statistical Research Project

May 2024 – July 2024
  • Hypothesis Disproof: Disproved the common hypothesis that investment levels directly correlate with job creation by performing rigorous statistical analysis (ANOVA, t-tests, p > 0.05) on a 15,000-record dataset using Microsoft Excel.
  • Strategic Policy Insight: Delivered a key strategic insight for policymakers: funding allocation should prioritize factors beyond capital amount (e.g., technology type, geography) to maximize economic and environmental impact.
  • End-to-End Excel Workflow: Executed an end-to-end analytical workflow, including data validation, outlier detection using the IQR method, and creating dashboards and visualizations to communicate complex findings to non-technical stakeholders.
💻 Technologies: Excel (Data Analysis ToolPak, PivotTables, Advanced Charting), Statistical Methods (Hypothesis Testing, ANOVA)

Business Strategy Analysis with Advanced SQL | Individual Analytics Project

September 2024 – October 2024
  • Revenue Strategy Development: Identified strategies to potentially boost revenue by 15% by performing an in-depth analysis of a DVD rental database to optimize inventory and customer targeting.
  • Advanced SQL Analytics: Authored advanced PostgreSQL queries using window functions (RANK, SUM OVER) and CTEs to identify high-value customer segments and analyze month-over-month revenue trends.
  • Inventory Intelligence: Delivered actionable inventory insights by using LEFT JOIN and subqueries to pinpoint underperforming film categories and confirm 100% stock circulation.
  • Strategic Business Translation: Translated complex data into business recommendations, including a proposal for a customer loyalty program and a data-driven marketing strategy for top film categories.
💻 Technologies: PostgreSQL, Advanced SQL (Window Functions, CTEs), Business Intelligence

Professional Experience

Mathematics Teacher

Chautare Danda Secondary School | Baglung, Nepal
March 2021 – February 2023

🎯 Key Responsibilities & Achievements:

  • Curriculum Development: Designed and delivered comprehensive math curricula for Algebra, Geometry, and Statistics to 100+ students
  • Data-Driven Teaching: Implemented informal data tracking systems to monitor student performance and identify learning gaps
  • Communication & Presentation: Created visual aids including charts and graphs to explain complex mathematical concepts
  • Problem-Solving: Encouraged practical application of mathematical concepts, building foundation for analytical thinking
  • Performance Improvement: Achieved 20% improvement in student test scores through structured lesson planning

💼 Transferable Skills: Data analysis, presentation skills, problem-solving, stakeholder communication

Mathematics Tutor

Srijana Secondary School | Pokhara, Nepal
September 2019 – March 2021

🎯 Key Responsibilities & Achievements:

  • Individual Instruction: Provided personalized tutoring in Algebra and Geometry to improve student outcomes
  • Process Optimization: Developed systematic approaches to break down complex problems into manageable steps
  • Communication Excellence: Refined presentation and explanation techniques essential for stakeholder communication
  • Results-Oriented: Consistently helped students achieve 15-30% improvement in mathematical proficiency

💼 Transferable Skills: Client communication, analytical thinking, process improvement, attention to detail

Education & Certifications

Graduate Certificate - Artificial Intelligence

Georgian College | Barrie, Ontario, Canada
May 2025 – December 2025 (Current)

🎓 Program Focus: AI Architecture, Design, and Implementation

📚 Relevant Coursework: Machine Learning, Deep Learning, AI Ethics, Neural Networks

Graduate Certificate - Big Data Analytics

Georgian College | Barrie, Ontario, Canada
May 2024 – December 2024

🎓 Specialized in: Data Mining, Statistical Analysis, Business Intelligence, Data Visualization

📚 Key Skills Developed: Python, SQL, Tableau, Power BI, Statistical Modeling

🏆 Academic Achievement: Successfully completed hands-on projects in renewable energy analysis and SQL business analytics

Bachelor of Science - Physics

Tribhuvan University (IOST) | Kathmandu, Nepal
2016 – 2020

🎓 Mathematics Courses (2 years): Calculus & Linear Algebra, Mathematical Logic & Set Theory, Differential Equations & Complex Variables, Vector Analysis & Mechanics

� Statistics Courses (3 years): Descriptive Statistics & Probability, Probability Distributions, Statistical Inference, Sampling & Design of Experiments, Regression Analysis & Time Series, Multivariate Analysis & Non-parametric Methods, Applied Statistics

Technical Skills & Competencies

💻 Programming & Analytics

Python Database Excel Power BI Tableau AWS Flask
  • Programming Languages: Python, SQL, R (basic), JavaScript (basic)
  • Databases: PostgreSQL, MySQL, Microsoft SQL Server
  • Cloud Platforms: Google Cloud (deployment), AWS (basic)
  • Version Control: Git, GitHub
  • Web Development: Flask, HTML/CSS (working knowledge)

📊 Data Analysis & Visualization

  • Statistical Analysis: Hypothesis Testing, Regression Analysis, ANOVA, MANOVA
  • Machine Learning: Scikit-learn, XGBoost, LightGBM, Model Selection, Hyperparameter Tuning
  • Data Processing: Pandas, NumPy, Data Cleaning, ETL Processes, SMOTE
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI
  • Business Intelligence: Dashboard Creation, KPI Development, Reporting
  • Advanced Excel: Pivot Tables, VLOOKUP, Data Analysis ToolPak, Macros
  • Model Deployment: Flask Applications, Web Development, Interactive Dashboards

🎯 Business & Soft Skills

  • Project Management: Planning, Execution, Documentation, End-to-End ML Pipeline Development
  • Communication: Technical Writing, Data Storytelling, Presentations, Business Reporting
  • Problem Solving: Root Cause Analysis, Critical Thinking, Algorithm Selection
  • Stakeholder Management: Client Communication, Cross-functional Collaboration
  • Industry Knowledge: Business Analytics, Financial Analysis, Performance Metrics, Customer Retention Strategies

🏆 Certifications & Achievements

  • Web Development with Python - Coursera (2024)
  • Microsoft Power BI Data Analyst - Coursera (2024)
  • Big Data Analytics Graduate Certificate - Georgian College (2024)
  • ML Model Achievement: 79.7% churn detection recall
  • End-to-End ML Projects: From data to deployment