Deeksha Jha

AI Researcher

Varanasi, Uttar Pradesh, India8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in machine learning and NLP techniques.
Experience in deploying models on AWS for scalability.
Strong background in data analytics and visualization.

Stackforce AI infers this person is a Data Science and NLP specialist with a focus on Fintech and SaaS applications.

Contact

Skills

Core Skills

Machine LearningData AnalyticsNatural Language Processing (nlp)Data Science

Other Skills

Deep LearningPython (Programming Language)TwilioFlaskNeural Machine Translation (NMT)Web ScrapingPySide6TransformersProblem SolvingArtificial Intelligence (AI)

About

Hi, I am Deeksha Jha, I'm a Master's student in Decision Sciences at IIT BHU Varanasi. I am passionate about machine learning algorithms, their workings, and the underlying mathematics. I have experience in NLP, including building multiclass text classification models, text data scraping, NMT, and LLMs.

Experience

8 mos

Total Experience

3 mos

Average Tenure

Current Experience

Intel corporation

Data Science Intern

Jul 2025 – Present · 10 mos · Bengaluru · On-site

Indian institute of technology (banaras hindu university), varanasi

Training and Placement Representative

Aug 2024 – Dec 2024 · 4 mos

Sampann

ML Intern

May 2024 – Jul 2024 · 2 mos · Remote · Remote

Built an end-to-end transaction classification system using fine-tuned BERT, achieving 85%+ accuracy across diverse expense categories.
Collected and preprocessed bank statement data and generated additional training samples using keyword-based augmentation.
Deployed the model on AWS EC2 for secure, scalable inference.

Machine LearningData AnalyticsNatural Language Processing (NLP)Deep LearningPython (Programming Language)

Antian advanced technologies

2 roles

NLP Engineer

Aug 2023 – Dec 2023 · 4 mos

1.Worked on a Neural Machine Translation model with an encoder-decoder architecture and Bahdanau attention mechanism to translate long sentences, improving translation accuracy.
2. Worked on a voicebot using LLMs, Twilio, and Flask to call and interact with a chatbot.
3. Worked in building a desktop application to scrape, analyze and visualize the text data from across various platforms using PySide6 and Qt designer.

Machine LearningTwilioFlaskNeural Machine Translation (NMT)Natural Language Processing (NLP)

NLP Intern

Apr 2023 – Jul 2023 · 3 mos

Worked on multiclass text classification using pretrained Hugging Face models. Additionally, utilized the Twitter API to extract text data, perform analysis, and create visualizations to gain valuable insights.

Machine LearningData AnalyticsNatural Language Processing (NLP)