Summary
Overview
Work History
Education
Skills
Certification
Projects
Languages
Timeline
Generic
NITESH KHERA

NITESH KHERA

Bengaluru

Summary

Data Scientist and AI Engineer skilled in machine learning, NLP, data analytics, Gen AI seeking to apply technical expertise in AI-driven problem solving and automation to deliver impactful business outcomes within a forward-thinking organization.

Overview

2
2
years of professional experience
1
1
Certification

Work History

AI/ML Engineer

HCL Tech
Bengaluru
11.2024 - Current
  • Building, training, and deploying supervised machine learning and NLP-based classification models to automate workflows.
  • Architecting multi-stage classification frameworks that are minimizing manual intervention and driving down operational costs.
  • Driving model lifecycles, covering data preprocessing, feature engineering, training, hyperparameter optimization, and validation.
  • Applying advanced NLP methodologies such as TF-IDF vectorization, text classification, and transformer architectures (BERT).
  • Establishing evaluation frameworks leveraging metrics like precision, recall, PSI, KS statistic, capture rate, MAE, rogue score, and WMAPE.
  • Collaborated with cross-functional teams to automate call classification and email routing through AI-based systems, enhancing accuracy and efficiency.
  • Refining protected models by incorporating NLP pipelines that identify and filter abusive or sensitive communication.
  • Creating GenAI-driven POCs using LangChain and prompt routing for project management automation.
  • Documenting all development, validation, and governance activities.
  • Automated manual processes, generating estimated cost savings of $670,000 through implementation of advanced predictive models.
  • Achieved 85% accuracy and 83.5% recall for 2-stage classification model, reflecting strong model performance and reliability.
  • Created a dropout prediction model during the internship that achieved an accuracy rate of 85%, driving a 15% reduction in dropout rates.
  • Enhanced the average call handling time model using SARIMAX, achieving a WMAPE value of 6.5%, improving operational efficiency.

Data Science intern(paid)

Learnbay
Bengaluru
01.2024 - 10.2024
  • Designed a student dropout prediction model with 85% accuracy rate, enabling engagement strategies and reducing dropout rates by 15%.
  • Collaborated with academic advisors to generate actionable insights.
  • Created a time-series model for analyzing average call handling time, applying SARIMAX methodology, achieving WMAPE of 6.5%.

Education

Bachelor of Engineering - Mechanical

SJBIT
Bengaluru
01.2020

Skills

  • Python
  • SQL
  • Numpy
  • Pandas
  • Langchain
  • Ilama Index
  • Langgraph
  • Crew AI
  • Power BI
  • Snowflake
  • Machine Learning
  • Predictive Modeling
  • Natural Learning Processing
  • Time Series Forecasting
  • Data Visualization/ BI Reporting
  • Python Programming
  • Statistical Analysis
  • Supervised/ Unsupervised Learning
  • Model Evaluation
  • Data Cleaning & Preprocessing
  • Prompt/ Feature Engineering
  • Automation Frameworks
  • SQL Querying & Data Extraction
  • AI Model Monitoring/ Governance
  • Cross-functional Collaboration

Certification

  • Data Science and Artificial Intelligence Certificate, IBM
  • Python Certificate, IBM
  • Machine Learning Certificate, IBM
  • Machine Learning in Production
  • Microsoft Certified: Azure Data Fundamentals
  • Partner Training: Gen AI & LLM on Databricks

Projects

  • Mail Classification Model, Python, NLP, TF-IDF, XGBoost, Supervised Learning, Developed a two-stage NLP-based classification model automating mails team's manual process, saving ~$670K annually.
  • Model Monitoring & Evaluation Framework, Python, Statistical Analysis, KPI Dashboards, Designed monitoring and evaluation metrics for 7 production models (CEOMR, PSI, Legal Text Summarization, OOMF, Protected, etc.).
  • Retirement Prediction Model, Python, Classification Models, Feature Engineering, Developed a classification model to predict if particular personnel would retire within 12 months.
  • Hate Protect Model- Hate & Abusive Call Detection, TF-IDF, Logistic Regression, BERT, Automated detection of hate/abusive (HAT) calls previously handled manually.
  • POC - Generative AI Project Manager, LangChain, LLMs, Prompt Engineering, Python, Built a GenAI-based project manager using LangChain and prompt routing to extract project insights.

Languages

  • Hindi
  • English

Timeline

AI/ML Engineer

HCL Tech
11.2024 - Current

Data Science intern(paid)

Learnbay
01.2024 - 10.2024

Bachelor of Engineering - Mechanical

SJBIT
NITESH KHERA