Divij Bajaj — AI Researcher

Experienced Data Scientist with ~6 YOE as FTE in building, productionizing and scaling large ML models in production to solve real world business problems and generated high $ impact. Bio In Law of Attraction Format 🙂 ASK- Decode it to get what I want from my life- To see the world in a matrix of probabilities and reason in an elegant equation!! Everything I do/decision/choice at my work and in other 8-dimensions of my life is an A/B test, to which I keep on rejecting or accepting the null hypothesis based on a quantifiable test statistics measure that will always be evaluated by comparing ME_NOW VS ME_Past. BELIEVE-I strongly believe in Ronald Coase quote ‘If you torture data long enough, it will confess to anything you'd like. I torture the streaming & textual data a lot (Books) along with maintaining gratitude and victory journal which confesses in adding value to my knowledge, skills and upgrading life. RECEIVE- I feel convinced in solving business problems, executing projects, running and working till whatever it takes. Some achievements that are & will remain close to my heart: ★ Awarded Best outgoing student and Batch topper/scholar among 210 students for MBA-Data Sciences & Data Analytics, 2018-20 batch. ★ Honoured & Grateful to meet & get felicitated by Sonam Wangchuk for harnessing the B-school case study competition. ★ Also, have my own Intelligent Virtual Assistant named DIVA just like an Alexa or Google Home, which can additionally be used for Custom Solutions, Tableau assistance and IoT applications. Check the video in the featured section for more details. ★ Won first-ever Machine Learning Competition at VMware MLPO ★ Shark-Tank Finalist at VMware ★ For more, glance through the feature section and DM me to have a conversation over a coffee. #LOA #believer #dataperson #always_student #livelifetomaximum

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning for SaaS applications.

Location: Delhi, India

Experience: 7 yrs 6 mos

Skills

Ai
Applied Machine Learning
Anomaly Detection
Machine Learning
Cloud Computing

Career Highlights

Awarded Best outgoing student in MBA-Data Sciences.
Won first-ever Machine Learning Competition at VMware.
Developed Intelligent Virtual Assistant for custom solutions.

Work Experience

Microsoft

Data & Applied Scientist II (2 yrs 1 mo)

Data & Applied Scientist (9 mos)

Data & Applied Scientist (1 yr 8 mos)

VMware

Data Scientist II- Data Sciences & Advanced Analytics (6 mos)

Data Scientist - Data Sciences and Advanced Analytics (PPO) (1 yr 1 mo)

Data Scientist Intern- Data Sciences and Advanced Analytics, EDA (2 mos)

Hyper Filteration pvt ltd.

Embedded Software Engineer (1 yr)

Air India Limited

Avionics Engineer Intern (2 mos)

Aedifico Tech Pvt. Ltd.

Embedded Software Winter Intern (5 mos)

Education

Master of Technology - MTech at University of Hyderabad

Masters at SYMBIOSIS INTERNATIONAL UNIVERSITY

Bachelor of Technology - BTech at JSS Academy of Technical Education

Divij Bajaj

AI Researcher

Delhi, India7 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Awarded Best outgoing student in MBA-Data Sciences.
Won first-ever Machine Learning Competition at VMware.
Developed Intelligent Virtual Assistant for custom solutions.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning for SaaS applications.

Contact

Skills

Core Skills

AiApplied Machine LearningAnomaly DetectionMachine LearningCloud Computing

Other Skills

Amazon Web Services (AWS)Analytical SkillsAnalyticsArtificial IntelligenceBig DataBig Data AnalyticsBitcoinBlockchainBusiness AnalysisBusiness InsightsChatbot DevelopmentData AnalysisData AnalyticsData MiningDeep Learning

About

Experience

7 yrs 6 mos

Total Experience

1 yr 10 mos

Average Tenure

4 yrs 6 mos

Current Experience

Microsoft

3 roles

Data & Applied Scientist II

Promoted

May 2024 – Present · 2 yrs 1 mo

Started working in E+D, M365 Core, IC3 Team, Enterprise Cloud
Project: Log Intelligence Suite and Automatic Rootcause Mitigation Assistant (ARMA) Co-Pilot
Objective:To detect anomalies in structured and unstructured logs for faster incident mitigation and
reduced Time to Mitigate (TTM).

AIApplied Machine LearningDeep LearningAnomaly DetectionLarge Language Models (LLM)Large Language Model Operations (LLMOps)+7

Data & Applied Scientist

Aug 2023 – May 2024 · 9 mos

Started working in E+D, M365 Core, IC3 Team, Enterprise Cloud

AIAnomaly DetectionLarge Language Models (LLM)Large Language Model Operations (LLMOps)Deep Learning

Data & Applied Scientist

Dec 2021 – Aug 2023 · 1 yr 8 mos

Team- CX Data- Cloud + AI
Working on building
1. Azure Subscription Services Recommendation System & One Microsoft Recommendation System for Daily Recommender & Azure Marketplace which recommends Microsoft Azure Services and sales play to the Microsoft top managed customers to target them with the next best service to be consumed and Azure first service for the new customers.
This is one of the core priorities for Microsoft to increase the Azure Market share. The recommendations from our model are helping stakeholders to find high-propensity customers & target them to generate $ pipeline for the Business OKRs
Skills/Algorithm: DL, Collaborative Dense Recommendation System, Matrix Factorization, Dimensionality Reduction of User vs Services Matrix, A/B testing, Productionizing

Object-Oriented Programming (OOP)Natural Language Processing (NLP)Cloud ComputingDeep LearningPython (Programming Language)Machine Learning

Vmware

3 roles

Data Scientist II- Data Sciences & Advanced Analytics

Jun 2021 – Dec 2021 · 6 mos

Data Scientist - Data Sciences and Advanced Analytics (PPO)

May 2020 – Jun 2021 · 1 yr 1 mo

Started Working as a Data Scientist-I in Data Sciences and Advanced Analytics, Enterprise Data Analytics (EDA) Department Specialised in Global Product, Engineering & Marketing Ecosystem (EDA- PEME) at VMware, Banglore.
Helping Marketing Team to leverage the power of data using ML and DL models for better campaign marketing and targeting. Data Science in marketing is the new regime to engage customers and have better ROI. Continuously learning and Conquering this challenge.

Data Scientist Intern- Data Sciences and Advanced Analytics, EDA

Apr 2019 – Jun 2019 · 2 mos · Bengaluru Area, India

I worked as a Data Scientist in EDA (Enterprise Data Analytics) to build recommendation system for a product using Markov Chains, Apriori Algorithm and other Statistical Models.
Also, used NLG (Natural Langauage Generator) to obtain automated insights on Tableau Dashboard and Voice Insights using Virtual Assistant using Raspberry Pi.

Hyper filteration pvt ltd.

Embedded Software Engineer

Jun 2017 – Jun 2018 · 1 yr · New Delhi Area, India

Worked on Waste Water Management Solutions to Giant Industrial Tycoons Whose Consumption of Ground Water Exceeds 1 Lakh Litre Per Day. Based on the Type of Effluent and Analysing the Different Parameters Such as TDS, TSS, COD, BOD, MLSS etc.

Air india limited

Avionics Engineer Intern

Jun 2017 – Aug 2017 · 2 mos · New Delhi Area, India

I Took Summer Internship at Air India Ltd. as an Avionics Engineer Trainee. I was Associated with Maintenance Work of Aircraft Components Visiting Avionics Workshops Which Includes ( Instrument, Radio, Electrical and ATEC ).

Aedifico tech pvt. ltd.

Embedded Software Winter Intern

Jan 2016 – Jun 2016 · 5 mos · New Delhi Area, India

As a Programming Enthusiast and Electronics Hobbyist By Interest, I had gone through 6 months training on RaspberryPi3, Arduino Microcontroller, AVR ATMega, ESP8266NodeMCU. Learnt Various New Skills and Implemented Hardware Applications to Build Projects. Nourished Python, Linux and Embedded C in Programming Languages Other Software Include- AVR Studio, Proteus,