Summary
As a seasoned Machine Learning Engineer with 4 years of hands-on experience, I have a strong background in designing
and deploying machine learning and deep learning algorithms to solve complex problems. My expertise extends to the
realm of Natural Language Processing (NLP), where I currently employ Large Learning Models (LLMs) to develop
advanced NLP applications. My work focuses on generating actionable insights and automating processes, thereby
adding significant value to the business.
Experience
General Algorithmic Technologies
Machine Learning Consultant, Nagpur, Maharashtra
02/2023 - Present
Stock Analysis Chatbot
Leverages the GPT model to analyze stock market trends and generate reliable investment advice, making the tool
highly predictive and interactive.
Data Integration: Collaborates with Yahoo Finance to pull real-time stock data, ensuring that users have the most
current and accurate information at their fingertips
NLP capabilities: Utilizes Natural Language Processing (NLP) with the aid of Langchain for enhanced text
analytics. This allows for a more intelligent and conversational interaction with users.
Real analysis: Provides a live feed of stock prices and performs immediate analysis, offering insights like price
trends and market volatility.
User Interface : The interface is built on Streamlit, providing a seamless and user-friendly experience that
enables users to easily navigate through the system.
Humana
Machine Learning Consultant, Nagpur, Maharashtra
01/2023 - 06/2023
Medical Insurance ChatBot
Model Fine-Tuning: Leveraged state-of-the-art Language Model (LLM) architectures like Llama-2 ,Dolly to
specialize models for the medical insurance sector. This involved techniques like domain-specific pre-training,
model alignment, and supervised fine-tuning
Data Preparation: Utilized a comprehensive corpus of medical insurance PDFs to train the LLMs, ensuring the
models are highly accurate and relevant to the medical insurance domain.
Chatbot Development: Engineered a user-friendly chatbot interface using Streamlit. The chatbot is integrated
with the fine-tuned LLMs and provides real-time, accurate responses to medical insurance queries.
Client Collaboration: Worked closely with the client to seamlessly integrate the chatbot into their existing
customer service ecosystem.
Humana
Machine Learning Consultant, Nagpur, Maharashtra
06/2022 - 01/2023
Optimizing Medical Prior Authorization Approvals through Machine Learning
ML Algorithms: Utilized Databricks as the primary platform for data engineering and model training. Leveraged
state-of-the-art machine learning algorithms like XGBoost and Catboost for building highly accurate predictive
models 
Anshul Piperde

Feature Engineering : Utilized feature engineering techniques to prepare data for machine learning algorithms.
For categorical variables, applied one-hot and label encoding to transform them into a machine-readable format.
For numerical variables, conducted scaling through normalization and standardization, and enhanced feature
interactions using binning and polynomial features[
Model Performance: Achieved high model accuracy of 94% by fine-tuning hyperparameters and using ensemble
methods like boosting, which are particularly effective for structured predictive modeling problems
Levelapp
Machine Learning Consultant, Nagpur, Maharashtra
05/2021 - 02/2022
House Rent Prediction ML App
Data Handling: Aggregated and cleaned housing datasets for Delhi, Mumbai, Bengaluru, and Kolkata from
multiple online platforms.
ML Models: Developed predictive models using XGBoost, Random Forest, and Decision Trees. Tuned
hyperparameters using GridSearchCV.
Performance: Achieved top-tier predictive accuracy with evaluation metrics like RMSE, R-Squared, and MAE.
Web Interface: Built a user-friendly Flask API and front-end interface with HTML, CSS, and JavaScript for real-
time rent predictions.
User Experience: Designed an intuitive, form-based query system for capturing property features like bedrooms,
bathrooms, and area.
Deployment: Hosted the application on AWS to ensure high availability and scalability.
Skills
Numpy, Pandas, Python, TensorFlow, Keras, Langchain, Large Language Models, Feature Engineering, Machine
Learning, PySpark, AWS
Education
Information Technology
Ramdeobaba College of engineering and Management, Nagpur, Maharashtra
08/2018