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Vicky Suryabhan DighoreBusiness Analyst/Data Scientist / ML Engineer
Courses
Advanced Business Analysis, BA Centric Solutions LTD
August 2023 – September 2023 Hyderabad, India
Profile

Detail-oriented and analytical professional with hands-on experience in Business Systems Analysis and Data Science, driven by a strong passion for solving business problems using data. With a foundation in identifying business needs and transforming them into actionable insights, I bridge the gap between technology and strategy to deliver impactful solutions.

Education
Skills
Soft Skills: Problem Solving, Adaptability, Decision making
Programming: Python, SQL
Data Manipulation & Analysis: Pandas, NumPy
Machine Learning & AI: Scikit-Learn, TensorFlow, XGBoost
Deep Learning & NLP: Transformers, NLTK, spaCy, BERT, Word2Vec
Data Visualization: Tableau, Matplotlib, Seaborn, Plotly
Database: MySQL
Feature Engineering & EDA
Business Analysis,Requirement Engineering, Requirement Gathering, and Documentation Agile Methodology,Jira, Scrum , Product Development ,SDLC, Project Management,BRD,FRD,Waterfall,Activity Diagram ,Gap Analysis
Professional Experience
Business Analyst Intern, ClueMatrix Technologies PVT LTD
November 2023 – April 2024 | Nagpur, India
  • •Conducted requirement gathering and documented detailed user stories and acceptance criteria for projects including Hospital Management Software, Virtual Shirt (E-commerce), and Weldmesh Pvt. Ltd. (CRM & Inventory Management System) to ensure clear functional specifications and streamlined development.
    • Certificates
    DATA SCIENCE BOOTCAMP

    upGrad Knowlegdehut

    People Management Skills

    Charted Institute of Personnel and Development(CIPD)

    Advanced Business Analysis

    By BA CENTRIC SOLUTIONS LTD and IIBA

  • •Conducted Exploratory Data Analysis (EDA) using Python for Ashkreet Eyewear, an e-commerce eyewear brand.
  • •Utilized Pandas, NumPy, Matplotlib, and Seaborn to clean, analyze, and visualize customer and sales data.
  • •Built a machine learning model for NABH Buddy to predict the likelihood of heart disease using patient health data, leveraging Logistic Regression and data preprocessing techniques for accurate clinical decision support.
    • Business Analyst Intern, BA Centric Solutions LTD
    September 2023 – October 2023 | Hyderabad, India

  • •Created user stories and acceptance criteria for a Library Management System to define functional requirements, ensuring alignment with stakeholder needs and project goals.
  • •Collaborated with cross-functional teams to translate user needs into clear, actionable stories, enhancing development efficiency and improving overall system usability.
  • •Performed data analysis using Microsoft Excel and SQL to derive meaningful business insights and support decision-making.
    • Data Science Intern, Mentormind (Menternship) - Pepper Content
    December 2024 – January 2025
  • •Performed sentiment analysis on text data using NLTK toolkit to classify opinions as positive, negative, or neutral, uncovering key customer sentiments and trends for data-driven decision making.
  • •Preprocessed and tokenized large datasets using NLTK techniques such as stop-word removal, stemming, and lemmatization, improving model accuracy and overall text analysis quality
    • Data Scientist Intern, BrainWave Matrix Solutions
    February 2025 – present | Noida, India
    HR Assistant, LNV TECHNOLOGY
    July 2025 – Present | Chandrapur
    Projects
    Sentiment Analysis of Twitter Data using Python
  • •Performed sentiment analysis on text data using NLTK toolkit to classify opinions as positive, negative, or neutral, uncovering key customer sentiments and trends for data-driven decision making.
  • •Preprocessed and tokenized large datasets using NLTK techniques such as stop-word removal, stemming, and lemmatization, improving model accuracy and overall text analysis quality
    • Credit Card Fraud Detection
  • •Built a machine learning model to detect fraudulent credit card transactions using techniques like logistic regression, decision trees, and random forests, improving fraud detection accuracy and reducing false positives.
  • •Conducted data preprocessing, feature engineering, and handled class imbalance with methods like SMOTE, enhancing model performance and reliability in real-time fraud prediction scenarios.
    • Sales Data Analysis
  • •Utilized Pandas for cleaning, transforming, and analyzing large-scale sales datasets to uncover actionable insights and business trends.
  • •Employed Matplotlib and Seaborn to create visualizations such as bar charts, heatmaps, and trend lines, effectively communicating patterns and supporting data-driven decision making.