Ruchi Awasthi

CTO

Bengaluru, Karnataka, India5 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed a personalized recommendation system impacting 250,000 users daily.
Developed a chatbot for managing customer queries in Fintech.
Proficient in multiple areas of Machine Learning and AI.

Stackforce AI infers this person is a Data Scientist with expertise in EdTech and Fintech sectors.

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Skills

Core Skills

Recommendation SystemsData ScienceNatural Language ProcessingAi Development

Other Skills

A/B TestingAWS SageMakerAdobe PhotoshopAmazon S3Amazon Web Services (AWS)Apache AirflowC++ChatGPTCollaborative FilteringCommunicationCore JavaDialogue ManagementFinanceFlaskGit

About

A self-learnt Data Scientist with experience of working in multiple areas of Machine Learning, Deep Learning & Artificial Intelligence. - Image processing & Computer Vision - Generative AI using Large Language Models & related interfaces (GPT, Transformers, Langchain) - Recommendation & Ranking models - Statistical Machine Learning Models (especially pricing based, risk and fraud) - Text classification and intent analysis using NLP - Data analytics (Sql, MongoDb, Excel)

Experience

Pure storage

MTS GenAI R&D, CTO Office

Mar 2024 – Present · 2 yrs · Bengaluru, Karnataka, India

Unacademy

2 roles

Senior Data Scientist

Promoted

Apr 2023 – Mar 2024 · 11 mos

Designed and implemented a comprehensive solution for personalised video recommendations, impacting 2.5 Lakh users daily and marking Unacademy's first exploration into user-centric personalised recommendations.
Led a team of 3 individuals to further improve the organisation's recommendation initiatives, with the goal of enhancing content discoverability and adoption
Techniques Used : Collaborative Filtering, A/B Testing

Collaborative FilteringA/B TestingRecommendation SystemsData Science

Data Scientist

Mar 2022 – Mar 2023 · 1 yr

Prompt Engineering and working with LLMs and Transformer based models
Lead Scoring using Machine Learning Models like Catboost and Statistical analysis

Jpmorgan chase & co.

Quantitative Researcher

Jul 2021 – Mar 2022 · 8 mos · Mumbai, Maharashtra, India

Interest Rates Team

Makemytrip

Data Science Intern

Jan 2020 – Jun 2020 · 5 mos · Gurugram, Haryana, India

Worked on Learning to Rank (L2R) model based on LambdaMart algorithm for property recommendation of domestic alternate accommodations (AltAcco)
Techniques : XG Boost and Neural Network, Accuracy matrix : Normalized discounted cumulative gain

Learning to RankLambdaMartXG BoostNeural NetworkRecommendation SystemsData Science

Zestmoney

AI Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru Area, India

Performed intent classiﬁcation for bucketing the customer queries into ten broad intents through previous chat analysis
Created a dialogue management ﬂow for customer queries to answer status-related issues thereby solving the company's most frequently asked query
Organized the ﬂow through an automated conversational chatbot built using a Python framework, RASA
Developed Named Entity Recognition (NER) model for ﬁnding and fetching the user's name from a sentence response and identifying the response as garbage for an invalid name
Trained the NER model over a blank Spacy model with custom dataset suitable for our use-case
Worked on Speech Recognition for video KYC to ensure the physical presence of the user
Used Google API for the same, validated over test audio samples from Mozilla's 'Common Voice' dataset

Intent ClassificationDialogue ManagementNamed Entity RecognitionSpeech RecognitionNatural Language ProcessingAI Development

Flynava technologies

Data Science Intern

Nov 2018 – Dec 2018 · 1 mo · Bengaluru Area, India

Involved in scraping of ITA Matrix website to extract the YQ-YR tax values for diﬀerent airlines using selenium and Beautiful Soup
Contributed to building Jupiter, a Pricing Decision Intelligence system for clients across airline domain
Developed Triggers, a predictive and an automatic alert agent, by integrating mongoDb database using PyMongo