Akansha Jain

Artificial Intelligence Engineer at Interactly.ai

Delhi, Delhi, United States
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Summary

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Senior
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Top School
Akansha Jain is an AI software engineer with nine years of experience building applied ML solutions that drive measurable business impact across automotive, retail, and healthcare domains. She has shipped production recommenders, NLP/RAG assistants, and analytics co-pilots—most notably a personalized dealer recommender at Titan that lifted repurchase rates by 30% and a RAG support assistant that cut tickets and improved first-contact resolution by ~20%. At Mercedes‑Benz (via Infosys) she delivered a global Power BI reporting platform and automation that reduced reporting effort by ~75%, and at Interactly.ai she’s turning hospital call logs into actionable insights with natural-language-to-database translations. Beyond product work, she mentors for CloudCV/EvalAI, improving onboarding and cost-efficiency for a platform used by top industry and research labs. Known for pairing pragmatic experimentation (A/B tests, XGBoost, embeddings) with end-to-end deployment and cross-functional adoption, she targets roles in applied ML, data science, and analytics.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor of Technology Computer Engineering, Bachelor of Technology Computer Engineering at Rajasthan Technical University
languagesEnglish, Hindi, Rajasthani
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Github Skills (65)

sentiment10
chatgpt9
word2vec9
twitter9
ai9
generative-ai9
gemini9
sentiment-analysis9
fastai9
classifier9
python9
gpu9
glove9
pytorch9
llm9

Programming languages (4)

CJupyter NotebookRubyPython

Github contributions (5)

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Contributions:34 commits, 27 pushes, 1 branch in 2 years 9 months
A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.
Contributions:22 commits, 10 PRs, 16 pushes in 3 years
classifierkerassentimentstreaming-datatweepy
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