Associate Analyst Candidate

MEGHNA SHAW

EDUCATION

WORK EXPERIENCE

• YipitData Jun 25- Present

****.*******@*****.***

• IIT ISM Dhanbad May 2025

MBA, Business Analytics GPA: 8.01/10

• Dr B C Roy Engineering College, Durgapur May 2021 B Tech, Electronics & Communication Engineering GPA: 8.43/10 Data QA Associate

Coordinate vendor and merchant data onboarding, ensuring accurate data capture, validation, and structured database updates.

Perform high-volume data verification, cleansing, and quality assurance checks to maintain data accuracy and integrity. Conduct data audits, anomaly detection, and exception analysis to identify inconsistencies and data gaps. Analyze vendor datasets to generate business insights, trend summaries, and performance observations. Partner with analysts and stakeholders to resolve data issues, reporting discrepancies, and requirement clarifications. Collaborate with cross-functional global teams (US & China) to align on data standards, reporting needs, and validation frameworks.

Support decision-making through structured reports, root-cause analysis, and data-backed recommendations. Ensure compliance with data governance, confidentiality, and integrity policies.

• ITC Infotech Jan 22- Jun 23

Associate IT Consultant

Worked on Apriso MES modules (Production, Warehouse, Quality) to streamline manufacturing and supply chain operations. Gathered and analyzed business requirements, translating them into functional workflows and system enhancements. Designed and optimized screen flows and user workflows to improve operational efficiency and usability. Performed data analysis using Apriso, SQL, and Excel to derive insights for operational decision-making. Applied predictive analytics to forecast equipment breakdowns (~73% accuracy), enabling proactive maintenance planning. Conducted business process analysis to identify inefficiencies and recommend optimization strategies. Collaborated with cross-functional teams to deliver data-driven system improvements. Participated in client discussions, requirement validation, and project planning.

• ReleaseMyAd May 24- Oct 24

Product Management Intern

Analyzed end-to-end operational workflows and supply chain processes to identify performance gaps. Conducted root-cause analysis to address operational bottlenecks and inefficiencies. Performed data-driven analysis supporting demand planning, inventory management, and product decisions. Collaborated with cross-functional teams (Product, Ops, Marketing, Tech) to align business goals with execution. Assisted in new process and product rollouts, ensuring smooth implementation. Tracked and evaluated operational KPIs and efficiency metrics. SKILLS

PROJECTS

Languages: Python (NumPy, Pandas, Matplotlib, TensorFlow), SQL(SQL Server & Window Funcions). Technologies: Power BI (DAX, Power Query), JIRA, Advanced Excel, MS Office, Apriso (MES/ERP), Git. Concepts: AI, ML, Deep Learning, Regex, Data Integrity & Governance, Root Cause Analysis, Data Visualization, Data Analysis, Data Validation & Quality Assurance, Requirement Analysis, Business Analysis, Stakeholder Reporting, Automation, Predictive Analytics. Smart Stock Predictions & Live Data Visualization: July 2024 – Nov 2024 Utilizes ML and LSTM models for accurate time series forecasting, analyzing past trends to predict stock prices. Incorporates dropout layers for better generalization. Pulls real-time S&P 500 data, processes it, and presents clear trend charts, enabling informed investment decisions, risk management, and strategic financial analysis. AI Hiring Assistant: Nov 2024 – Dec 2024

Upload multiple resumes and a job description, and the app analyses them instantly. It uses Word2Vec embeddings to understand the meaning of words, ensuring a smarter comparison beyond simple keyword matching. Cosine Similarity Scoring measures how closely resumes match a job description, ranking candidates based on relevance. Sentiment Analysis App: Jan 2025 – Feb 2025

Developed a Sentiment Analysis App using Streamlit and Hugging Face’s Transformers to classify text sentiment as positive, negative, or neutral. This application offers real-time sentiment analysis with a confidence score, enabling users to gain insights into the emotions conveyed in text-based content. Website

Github

SOCIAL ENGAGEMENTS

Club Member: Consulting & Analytics Club of IIT Dhanbad LinkedIn GitHub +918*********

Website

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