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Data Analytics & Pricing Strategy Specialist

Location:
Kolkata, West Bengal, India
Salary:
INR 1400000
Posted:
January 28, 2026

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Resume:

MEGHNA SHAW

EDUCATION

WORK EXPERIENCE

• YipitData Jun 25- Present

****.*******@*****.*** • LinkedIn • Github • +918*********

• 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

Perform accurate data extraction, labeling, and cleaning from email panel and AI-generated sources to ensure data quality. Analyze data trends across merchants and vendors, identifying patterns and anomalies. Investigate irregularities such as volume fluctuations to maintain data integrity and stability. Collaborate with global teams in China and the U.S. to align on data accuracy and processes. Respond promptly to analyst and client requests, ensuring reliable data delivery. Uphold company standards on data security and confidentiality.

• ITC Infotech Jan 22- Jun 23

Associate IT Consultant

Worked on Apriso MES modules across production, warehouse, & quality to streamline operations & ensure compliance. Designed and managed functional workflows to optimize screen flow tasks and improve user operations. Applied predictive analytics to forecast equipment breakdowns with 80% accuracy, enabling proactive maintenance. Collaborated with cross-functional teams to convert operational needs into actionable system improvements. Performed data analysis using Apriso, SQL, and Excel to drive insights for supply chain decision-making. Conducted data research to support strategic planning and operational improvements. Participated in client interactions and project planning to ensure timely delivery of scalable, high-quality solutions.

• ReleaseMyAd May 24- Oct 24

Product Management Intern

Analyzed end-to-end operations to identify inefficiencies and drive process improvements across the supply chain. Conducted root-cause analysis and implemented solutions to address operational bottlenecks. Performed data-driven analysis to support demand planning, inventory management, and product development. Collaborated with cross-functional teams to align supply chain goals with product, marketing, and customer needs. Coordinated new process and product rollouts, ensuring smooth execution across business, ops, and tech teams. SKILLS

PROJECTS

Languages: Python (NumPy, Pandas, Matplotlib, TensorFlow), SQL. Technologies: Power BI (DAX, Power Query), JIRA, Advanced Excel, MS Office, Apriso (MES/ERP), Git. Concepts: AI, Machine Learning, Deep Learning, Product Management, Operation Analytics, Linear Programming, Statistics, Data Visualization, ETL, Data Analysis, NLP, LSTM, A/B testing, Conjoint Analysis, Regex. 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

Website

• Navodita Infotech Nov 23- Jan 24

Data Science Intern

Collected and cleaned diverse datasets, reducing missing values from 11% to 3%. Developed NLP and deep learning models (RNN, CNN) for classification and prediction. Conducted Exploratory Data Analysis (EDA) to extract insights and identify data patterns. Github

SOCIAL ENGAGEMENTS

Club Member: Consulting & Analytics Club of IIT Dhanbad



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