May 2016 – Aug 2018 · 2 yrs 3 mos · Ahmedabad Area, India

• Lendingkart is a leading fintech firm in the Indian SME lending space. It has raised $150Mn in equity funding till Series C from top tier global VC/PE firms. It provides working capital loans to SMEs by accessing their creditworthiness using more than 10,000 datapoints by leveraging advanced Machine Learning and Big Data technologies.
• Ramp-up Business Analytics and Data Science capabilities to support entire business verticals - Digital Marketing, Customer Acquisition, Credit Underwriting, Risk, Collection
• Leverage advanced Machine Learning and Big Data Analytics to credit risk score and assess SME borrowers using more than 10,000 datapoints collected from borrowers and 3rd party sources
• Build ML based credit underwriting models that can serve the under-banked or thin file borrowers by using alternate data from social platform and mobile phone
• End-to-end credit assessment Data Science solution that can suggest best possible loan offer to customers
• Help functional teams manage their P&L by providing data backed strategy insights
• Manage product suits of Loan Portfolio Risk analysis, business lead prioritisation, loan renewal assessment and data warehouse capabilities
• Big Data platform to analyse customer data from Web, Social and Mobile APP
• Provide thought leadership in the upcoming SME credit lending analytics domain
• Talent acquisition, mentoring and growth

Apr 2014 – May 2016 · 2 yrs 1 mo · Bangalore

• Data Scientist (3 months)
• Associate Data Scientist ( 1 year)
• Senior Analyst (6 months)
• Headquartered in London, IHS Markit is a global leader in information, analytics and solutions for the major industries and markets that drive economies worldwide. It partners with clients in business, finance and government to help them see the big picture with unrivaled insights that lead to well-informed, confident decisions. IHS Markit serves more than 50,000 key customers in over 140 countries, including 80 percent of the Fortune Global 500.
• Supervised Learning and Time Series based ship freight rate forecasting models in R-studio. Solution helped win a year long and USD 2 Million contract with a major Asian ship company
• Algorithm to predict the maritime trade and commodity flow across Continents
• Naïve-Bays approach and Random Forest based predictive algorithm to forecast ship destination in realtime
• Bayesian approach based ship fleet capacity and ship retirement forecasting models
• SQL algorithm to improve ship movement tracing by 80%
• Tableau visualization dashboards for the clients
• Manage and mentor a small team of 2-3 people

Apr 2011 – Mar 2014 · 2 yrs 11 mos · Bangalore, India

• Supervised machine learning models to support memory, processors, graphics card etc chip hardware manufacturing for faster computers, servers and electronics
• Data extraction, mining, cleansing and diagnostics in Excel, R, SPSS, MATLAB and MathCAD for ML models
• Univariate, multivariate analysis & Linear and Logistic regression predictive models using proprietary softwares specifically tuned for hardware manufacturing
• Impact and scenario analysis of ML Models on manufacturing KPIs such as Yield, cost-to-company, time-to-market, etc

Aug 2007 – Mar 2011 · 3 yrs 7 mos · Delft Area, Netherlands

• Semiconductor tech startup developing innovative and cost effective ways to manufacture computer, mobile and electronics hardware
• Use the basic Math, Science and computer programming knowledge to analyze, investigate and solve technical and engineering problems. Used Python, MathCAD and Excel for programming and analysis
• Work on various aspects of the project management such as project planning and execution, resource management and internal communication
• Compile, present and defend technical and research reports

May 2005 – Aug 2005 · 3 mos · Canada