Ranjeet Kumar — AI Researcher

Welcome to my profile! I am a seasoned Lead Data Scientist with a rich background in leveraging ML,DL, LLMs, advanced data science techniques to drive strategic business growth and operational efficiency. Having worked in dynamic sectors like Banking, Fintech, IT services, Retail, and FMCG, I've honed a unique skill set that blends technical expertise with business acumen. 👔 Professional Journey: At Indusind Bank, I led the MSME digital lending vertical, achieving a 30% YoY portfolio growth. This was a result of my hands-on approach in implementing 2 innovative machine learning models using XGBoost and Logistic Regression for customer acquisition, significantly improving efficiency and customer engagement. My tenure at Atidiv as an Associate Architect saw me orchestrating operations that doubled the client base year-over-year. This role entailed a mix of Data Science, Data Engineering, Data Warehousing, Software Engineering, Business Intelligence, Portfolio Management, Strategy, Capability building, overseeing projects that ranged from risk classification to natural language processing for sales forecasting. Earlier, at Sears Holdings Corp., I led an analytics team to automate the reporting system for over 30 million users, demonstrating my prowess in managing large-scale data operations and business intelligence solutions. 🛠️Skills and Expertise: Proficient in Data Science, Machine Learning, Deep Learning, CNN, RNN, LLMs, AI, and Statistical Analysis.Skilled in Python, SQL, PySpark and various BI tools.Worked with platforms of Azure, AWS, and GCP. Adept at translating complex data into actionable business strategies. 🎯My Approach: I believe in a results-oriented approach, where data is not just numbers but a catalyst for growth and innovation. My focus is on harnessing the power of data to uncover insights that drive business performance and strategic decision-making. 💪 Continual Growth: Constantly updating my skills and knowledge, I am passionate about exploring emerging trends in data science and AI. This learning mindset enables me to stay ahead in this rapidly evolving field. 🤝Let's Connect: I am always open to connecting with fellow professionals, discussing potential collaborations, or sharing insights into the ever-evolving world of data science. Feel free to reach out for networking, opportunities, or a good conversation about data and its potential to transform businesses!

Stackforce AI infers this person is a Fintech and Data Science expert with strong leadership in machine learning applications.

Location: Mumbai, Maharashtra, India

Experience: 8 yrs 9 mos

Skills

Machine Learning
Risk Analytics
Business Intelligence

Career Highlights

Achieved 30% portfolio growth at IndusInd Bank.
Led automation for reporting system of 30 million users.
Spearheaded ML projects resulting in 100% client growth.

Work Experience

IndusInd Bank

Lead Data Science (3 yrs 6 mos)

Atidiv

Associate Architect (5 mos)

Lead Engineer (11 mos)

Data Scientist (2 yrs)

Sears Holdings India

Business Analyst (1 yr 10 mos)

Sumitomo, Japan

Structure Engineer (5 mos)

Students Placement Office, IIT KANPUR

Placement Coordinator (8 mos)

Education

Bachelor of Technology - BTech at Indian Institute of Technology, Kanpur

Ranjeet Kumar

AI Researcher

Mumbai, Maharashtra, India8 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 30% portfolio growth at IndusInd Bank.
Led automation for reporting system of 30 million users.
Spearheaded ML projects resulting in 100% client growth.

Stackforce AI infers this person is a Fintech and Data Science expert with strong leadership in machine learning applications.

Contact

Skills

Core Skills

Machine LearningRisk AnalyticsBusiness Intelligence

Other Skills

Deep LearningSoftware DevelopmentData Structures and AlgorithmsStatistical ModelingCredit Risk ManagementConvolutional Neural Networks (CNN)Data AnalyticsComputer ScienceAlgorithmsData VisualizationData WarehousingStrategyStatistical Data AnalysisTeam LeadershipProduct Management

About

Experience

Indusind bank

Lead Data Science

Sep 2022 – Present · 3 yrs 6 mos · Mumbai

➜ Successfully led the digital transformation of secured lending vertical at a national level, achieving a substantial 30% portfolio growth within a year
➜ Implemented an innovative ML based acquisition model for new customers, drastically reducing acquisition time by 90%
➜ Spearheaded the overhaul of the Digital Lending department, significantly increasing its contribution from 50% to 98% of the total operations, showcasing effective leadership and strategic acumen
➜ Crafted and rolled out machine learning models in various domains, including Acquisition, Behavior, Collection, Propensity, and Churn, showcasing expertise in diverse ML applications
➜ Led the design and implementation of product policies and rule engines, enhancing the digital customer experience and showing proficiency in strategic product management and rule-based systems

Machine LearningRisk Analytics

Atidiv

3 roles

Associate Architect

Apr 2022 – Sep 2022 · 5 mos

Machine LearningDeep Learning

Lead Engineer

Apr 2021 – Mar 2022 · 11 mos

Machine LearningDeep Learning

Data Scientist

Mar 2019 – Mar 2021 · 2 yrs

➜ Demonstrated exceptional leadership in operations, achieving a remarkable 100% year-over-year growth in client base over two years
➜ Played a key role in enhancing clients' team capabilities by aiding in the recruitment of multiple data science positions
➜ Spearheaded various machine learning projects encompassing Risk Classification, Time Series Analysis, and Natural Language Processing to forecast sales and understand consumer behavior, demonstrating expertise in applying ML techniques to real-world business problems
➜ Successfully developed data warehouses from the ground up, implemented self-service business intelligence (BI) solutions, & created fully automated dashboards for multiple clients, showcasing skills in data management & analytics
➜ Worked closely with Business Unit heads to contribute significantly to multiple client acquisitions and the enhancement of strategic approaches, reflecting strong collaborative and strategic planning abilities

Machine LearningDeep Learning

Sears holdings india

Business Analyst

May 2017 – Mar 2019 · 1 yr 10 mos · Pune Area, India

➜ Successfully led an analytics team focusing on ETL (Extract, Transform, Load) and Business Intelligence (BI) processes to automate the entire reporting system for shopping data of over 30 million users, demonstrating proficiency in managing large-scale data operations and team leadership
➜ Conducted in-depth analysis of open orders, backlog, and sales data, providing critical insights into customer shopping behaviors, and applied advanced BI tools and methodologies to translate data into actionable business strategies, showcasing skills in data analysis and strategic insight generation.

Machine LearningDeep LearningBusiness Intelligence

Sumitomo, japan

Structure Engineer

Feb 2016 – Jul 2016 · 5 mos · Hyogo, Japan

➜ Undertook a project focused on the vibrational analysis of landing gears, particularly for Electro-Hydro Static systems in aircraft landing gears, with the objective of enhancing their performance and reliability
➜ Successfully automated the process of determining gear constants, extending the capability from flat surfaces to various surface types. This involved applying advanced technical skills and innovative problem-solving methods
➜ Played a key role in increasing the efficiency of the gear analysis process by 300%, demonstrating the ability to significantly improve operational workflows
➜ Contributed to the improvement of the gear model, which resulted in a threefold reduction in overall running time. This advancement was instrumental in reducing the size and weight of the gears, showcasing a significant impact on the overall design and efficiency of aircraft landing gears

Deep LearningSoftware Development

Students placement office, iit kanpur

Placement Coordinator

Apr 2015 – Dec 2015 · 8 mos · Students' Placement Office, IIT Kanpur

➜Led a dynamic 3-tier team of 40 Coordinators, overseeing the successful placement and internship processes for a cohort of 1900 students.
➜Implemented a robust database management system to efficiently manage a database comprising 7000 companies, effectively handling inquiries from a team of over 75 individuals.
➜Achieved an impressive year-on-year growth of 10% in total placements during the initial phase, demonstrating consistent progress in securing opportunities for students.
➜Spearheaded a remarkable year-on-year growth of 12% in the total number of internships offered, providing valuable experiential learning opportunities to students.
➜Expanded the network of participating companies by onboarding 40+ new firms, resulting in a total roster of over 300 companies actively engaged in the placement process.

Deep LearningSoftware Development