---
title: "Yoshika Verma - Machine Learning Intern in Jalandhar | Tal"
description: "Meet Yoshika Verma, Machine learning internship @NEETprep|| AI/ML Engineer | Deep Learning · NLP · Computer Vision | Python · PyTorch · TensorFlow | Interned @ IIT Jammu · ISI Kolkata · NEETprep | NIT Jalandhar ’26 based in Jalandhar. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/yoshika-verma/share-image"
---

# Yoshika Verma on Tal

## Headline

Machine learning internship @NEETprep\|\| AI/ML Engineer \| Deep Learning · NLP · Computer Vision \| Python · PyTorch · TensorFlow \| Interned @ IIT Jammu · ISI Kolkata · NEETprep \| NIT Jalandhar ’26

## About

I build ML systems that work in the real world — not just on notebooks\. In the last 2 years, I've interned across 3 research and industry environments: IIT Jammu, ISI Kolkata, and NEETprep\. Each one taught me something different — academic rigour, biomedical deep learning, and shipping production data pipelines under real business pressure\. Here's what I've actually shipped: → Multimodal Parkinson's Disease detection model \(CNN \+ XGBoost\) — AUC 0\.91 on 500\-patient dataset @ ISI Kolkata → Automated ETL pipelines syncing HubSpot \+ PostgreSQL, saving 8\+ hrs /week of manual work @ NEETprep → 5\-model ML benchmark \(RF, SVM, XGBoost, LSTM, CNN\) with 94% accuracy @ IIT Jammu → Full\-stack hotel booking platform — Next\.js, REST APIs, Google Apps Script, end\-to\-end solo build My stack: Python · PyTorch · TensorFlow · XGBoost · SQL · Pandas · Scikit\-learn · Next\.js · PostgreSQL · Tableau · Power BI I'm currently in my final year of B\.Tech \(Biotechnology \+ ML focus\) at NIT Jalandhar, graduating in 2026\. My biotech background gives me an edge in healthcare AI and biomedical data problems — a niche most ML engineers don't have\. Open to: AI/ML Engineer · Data Scientist · ML Intern roles \(full\-time or 6\-month internship\) at product and service companies\. Let's connect if you're hiring or building something interesting\.

## Location

Jalandhar

## AI stack

cursor

opencode

claudecode

## Work experience

Machine Learning Intern at NEETPrep GoodEd Technologies Private Limited, Jan 2026 \- Jul 2026 · 7 mos, Built production data infrastructure and analytics tooling for one of India's largest EdTech platforms\. • Engineered automated ETL pipelines syncing HubSpot CRM ↔ PostgreSQL, eliminating 8\+ hrs/week of manual data work across 3 platforms • Shipped a real\-time Next\.js analytics dashboard for lead conversion tracking — enabling sales to prioritise prospects 2× faster • Designed multi\-persona social media automation strategy across 4 brand accounts, increasing content output by 60% Stack: Python · Next\.js · PostgreSQL · HubSpot API · REST APIs

Summer Intern at Indian Statistical Institute, Kolkata, Jun 2025 \- Aug 2025 · 3 mos, Kolkata, West Bengal, India, Worked on a cutting\-edge biomedical ML project combining imaging and clinical data for neurological disease diagnosis\. • Built a multimodal Parkinson's Disease detection model fusing MRI image features \(CNN\) with clinical tabular data \(XGBoost\) — AUC 0\.91 on a 500\-patient dataset • Reduced model inference latency by 35% through feature selection and pipeline optimisation — viable for near real\-time clinical screening • Presented methodology in research review; adopted as lab baseline for ongoing biomedical ML programme Stack: Python · TensorFlow · PyTorch · XGBoost · CNN · Scikit\-learn · Pandas · Seaborn

Data Scientist at CognoRise InfoTech, Aug 2024 \- Sep 2024 · 2 mos, Online

Intern at Indian Institute of Technology Jammu, Jun 2024 \- Jul 2024 · 2 mos, Designed, trained, and benchmarked end\-to\-end ML pipelines on real\-world datasets in a research environment\. • Built and compared 5 classifiers \(Random Forest, SVM, XGBoost, LSTM, CNN\) — top model hit 94% accuracy and 0\.93 F1\-score • Automated evaluation reporting with Pandas \+ Seaborn, cutting report generation from 3 hrs → under 20 minutes per experiment cycle • Evaluated models using accuracy, precision, recall, F1, AUC, and confusion matrix — full production\-grade assessment Stack: Python · Scikit\-learn · XGBoost · TensorFlow · LSTM · Pandas · NumPy · Matplotlib

Alumni @Dr\. BR Ambedkar National Institute of Technology jalandhar at Dr\. B R Ambedkar National Institute of Technology, Jalandhar \( PUNJAB\), Nov 2022 \- Jun 2026 · 3 yrs 8 mos

Sophomore at Dr\. B R Ambedkar National Institute of Technology, Jalandhar \( PUNJAB\), Nov 2022 \- Jul 2024 · 1 yr 9 mos

## Education

Bachelor of Technology \- BTech, Biotechnology, Dr\. B R Ambedkar National Institute of Technology, Jalandhar \( PUNJAB\)

12, Non medical, APOLLO PUBLIC SCHOOL

[View the original profile](https://tal.club/meet/yoshika-verma)

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