Summary
Overview
Work History
Education
Skills
Key Responsibilities
Certification
Timeline
Generic
MONALI P. WAGHCHAURE

MONALI P. WAGHCHAURE

Data Scientist | AI/ML Engineer | NLP | Power BI | End-to-End ML Deployment
Nashik

Summary

Results-driven Data Scientist with 2 years of experience designing end-to-end machine learning pipelines, conducting statistical analyses, and translating complex data into actionable business insights. Proficient in Python, SQL, and cloud-based ML platforms, with a strong track record of delivering measurable improvements in model accuracy and operational efficiency.

Overview

1
1
Certification
2
2
years of professional experience

Work History

Data Scientist

Technokraft Training and solutions PVT.LTD.
09.2025 - Current
  • Project: Loan Prediction System
  • Defined business problem of loan default prediction and built classification models
  • Designed ML model for loan default prediction achieving 80%+ accuracy
  • Performed feature engineering to improve model performance
  • Evaluated model using ROC-AUC, precision, and recall
  • Delivered insights through Power BI dashboards for stakeholders
  • Project: Sales Analysis Dashboard Using Power BI
  • Developed interactive Power BI dashboard to analyze sales trends and business performance
  • Created DAX measures and visualizations for decision-making insights
  • Enabled data-driven decision-making for stakeholders

  • Project: UPI Transaction Analysis

Data Scientist Trainee

Sumago Infotech PVT.LTD.
06.2024 - 08.2025
  • Project: AI-Powered Stock Market Analysis Chatbot
  • Translated financial analysis requirements into an AI-driven chatbot solution for stock trend prediction and decision support
  • Implemented ML models for price trend prediction and integrated sentiment analysis using NLP techniques
  • Built end-to-end pipeline including data scraping (yfinance), preprocessing, model training, and inference
  • Deployed application using Gradio for real-time user interaction
  • Achieved improved decision support by combining technical indicators and news sentiment
  • Project: NLP Project
  • Built sentiment analysis model using NLP techniques on Amazon product reviews
  • Applied text preprocessing, tokenization, and feature extraction
  • Achieved improved classification accuracy through hyperparameter tuning
  • Handled dataset of 50,000+ text records

Education

Computer Management

University Of Pune
01-2016

Bachelor of Science - Computer Science

University Of Pune
Nashik
01-2013

Skills

Python (Pandas, NumPy, Scikit-learn)

Machine Learning (Regression, Classification, Clustering)

Data Analytics/Business Analytics

Deep Learning (CNN, NLP basics

NLP (Transformers, Sentiment Analysis

SQL

Power BI (DAX, Data Modelling) /Tableau

Model Deployment (Flask / Fast API / Gradio)

Cross-functional stakeholder communication

Agile / Scrum project delivery

Technical writing & presentation

Mentoring junior analysts

Key Responsibilities

  • Worked on translating business problems into machine learning solutions
  • Cleaned and preprocessed structured datasets using Python (Pandas, NumPy)
  • Performed exploratory data analysis to identify key insights and trends
  • Built and evaluated ML models using Scikit-learn for prediction tasks
  • Tuned models to improve accuracy and performance
  • Developed end-to-end ML pipelines for data processing and prediction
  • Deployed models using Flask/Gradio for real-time user interaction
  • Designed Power BI dashboards to present business insights
  • Monitored model performance and updated models based on feedback
  • Collaborated with team members and documented project workflows

Certification

Udemy: Complete Data Analyst Bootcamp from Basic to Advance

Timeline

Data Scientist

Technokraft Training and solutions PVT.LTD.
09.2025 - Current

Data Scientist Trainee

Sumago Infotech PVT.LTD.
06.2024 - 08.2025

Computer Management

University Of Pune

Bachelor of Science - Computer Science

University Of Pune
MONALI P. WAGHCHAUREData Scientist | AI/ML Engineer | NLP | Power BI | End-to-End ML Deployment