Machine Learning Business Analyst

Varshith Kandikatla

*****************@*****.*** 860-***-**** https://www.linkedin.com/in/varshith-kandikatla-83201a1b2/ SUMMARY

Results-driven Business Analyst with hands-on experience in data analytics, forecasting, and machine learning. Proficient in Python, R, SQL, Power BI, and Excel for driving data-driven decisions. Skilled at transforming structured and unstructured data into strategic insights that improve business outcomes. Known for strong communication skills, cross-functional collaboration, and the ability to thrive in fast-paced, analytical environments. Demonstrated success in academic and real-world projects, including predictive modeling, data visualization, and operational efficiency improvements. EDUCATION

University of New Haven West Haven, CT

Master of Science, Business Analytics MAY 2025

GPA: 3.21/4.0

Relevant Coursework:

Data Mining and Machine Learning

Business Forecasting

Data Visualization with Power BI & Tableau

Advanced Excel for Business Analytics

Statistical Analysis and Decision Modeling

Database Management Systems (MySQL)

Project Management and Risk Analysis

Python and R for Business Analytics

ENTREPRENEURIAL EXPERIENCE

Founder & Product Lead – SmartSaathi

India January 2024 – Present

Launched a mobile-first SaaS platform empowering food trucks and small businesses to manage sales tracking, inventory, and staff workflows.

Led the complete product vision, UI/UX flow, and MVP development using tools like Figma, Notion, and low-code stacks.

Conducted 30+ user interviews to validate core features; priced Standard Plan at 99/month to target micro-SMEs.

Registered SmartSaathi under DPIIT’s Startup India initiative and developed a complete GTM strategy, including payment integration via Razor pay.

Built wireframes, investor pitch decks, and promotional content for stakeholder engagement and potential seed funding. Inventor & Patent Applicant – SHAKTI: Anti-Rape Wearable Ecosystem India – Provisional Patent Filed (Application No. 202*********) July 2025 – Present

Designed a tri-connected safety solution: Smart wristband + Safety ball + Mobile app for real-time defense & alerting.

Developed AI-powered heart rate anomaly detection and secure emergency triggers with multi-device connectivity.

Filed official Form 1, Form 2, Form 5 with Controller General of Patents, India.

Created system diagrams, flowcharts, patent claims, and 3D visual pitch assets for demonstration. PROFESSIONAL EXPERIENCE

Skill-Lync: Inside Sales Specialist EP5606 Hyderabad, India October 2022 – December2022

Analyzed customer data to personalize sales pitches and increase conversion rates

Managed leads through the full sales funnel, achieving the first sale within two weeks

Received recognition from the manager for excellent communication and rapport-building skills Data Analyst (Simulation) – Tata Consultancy Services (TCS) Remote March 2025

Completed a simulation involving creating data visualizations for Tata Consultancy Services

Prepared questions for a meeting with client senior leadership

Created visuals for data analysis to help executives with effective decision making Data Analyst (Simulation) – Accenture North America Remote March 2025

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture

Cleaned, modeled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions

Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders INTERNSHIP EXPERIENCE

Project Manager Government NGO, WFH May 2021 – June 2021

Led a public awareness campaign promoting art therapy as a form of emotional healing

Coordinated with local artists and mental health advocates to design workshop content

Developed outreach materials and social media content to maximize community engagement RELEVANT PROJECT

ACME INNOVATION BUSINESS CHALLENGE USING DATA MINING University of New Haven, CT Jan 2024 – April 2024

Leveraged advanced data mining and machine learning techniques to address challenges in client retention rates, driving data-informed decision-making to enhance Acme Innovations' competitive edge.

R code: https://drive.google.com/file/d/13ibbPH6Jg5D0QPCxMvHv3TPo2JwFlIr6/view?usp=drive_link Proposal paper: https://drive.google.com/file/d/1IIGEmU007oBrwk0IzNbiEBaAmhzBfarP/view?usp=drive_link Presentation: https://drive.google.com/file/d/1erq_O14e92s1ec1yfuTjoN2lkFexa0vE/view?usp=drive_link UBER AND LYFT PRICES USING POWER BI University of New Haven, CT Sept 2023 – Dec 2023

Using Power BI, analyzed and compared Uber and Lyft prices, considering factors like weather conditions, time of day, and day of the week.

https://drive.google.com/file/d/1VazDs8yA1rgdLjB6O6VWEkc3gNOiRE3J/view?usp=drive_link UNSUPERVISED MACHINE LEARNING PROJECT University of New Haven, CT Jan 2024 – April 2024

Conducted an Unsupervised Learning project applying clustering and data analysis techniques to uncover patterns and insights from unlabeled data. Utilized k-means clustering and dimensionality reduction methods to segment data and reveal trends, supporting data-driven decision-making and strategic insights.

https://drive.google.com/file/d/1MWkr1JiiGdqcxSXC4zYqAtMcO9vyWbrm/view?usp=drive_link PROJECT MANAGEMENT University of New Haven, CT

Jan 2024 – April 2024

Addressed low drug approval rates and lengthy R&D timelines in Big Pharma by developing a comprehensive data science tool to improve analytics for more informed decision-making in drug development. Managed project planning with Gantt charts, work breakdown structures (WBS), failure modes and effects analysis (FMEA), budgeting, and resource allocation to ensure successful implementation and impact on profitability.

https://drive.google.com/file/d/1YwyNeBU2auYnOHhd918H_K8GtEkUVNDl/view?usp=drive_link PILOT TRAINING PROCESS USING DBMS University of New Haven, CT Sept 2024 - Dec 2024

Documented and analyzed the current training processes for pilots to identify areas for improvement and better alignment with industry standards.

PPT: https://drive.google.com/file/d/1qmR9KxbGE9HgawdE3Dse4kR7wu5p5lpz/view?usp=drive_link Workbench: - https://drive.google.com/file/d/1iA80BPyhJT4x4_NFuwNEPVrTG-U6aVmY/view?usp=drive_link FORCE ENERGY: GROWING THE BRAND (CAPSTONE) University of New Haven, CT Jan 2025 – April 2025

Force Energy has advertised with major league baseball (MLB) teams in the past and have gained moderate amounts of exposure from these marketing campaigns. Want to increase the company's exposure to MLB fans. Built a Machine Learning model that can predict whether a team will make the playoffs.

As a Technical lead, applied machine learning methodologies and plotted visualizations.

R code: https://drive.google.com/file/d/1aIIWxBRyah_fv0quWxhEdD6kizEz3aQH/view?usp=sharing TECHNICAL SKILLS

Languages/Tools: Python, R, SQL, Excel, Power BI, Tableau

Techniques: Data Cleaning, Forecasting, Clustering, Regression, Classification

Project Tools: Git, Vscode, RStudio, MS Project, MySQL Workbench

Contact this candidate