Akash Sharma
@akashsharma9
Data science leader in finance, turning complex analytics into ML-driven risk decisions and scorecards.
What I'm looking for
I’m a results-oriented data science professional with nearly 3.8 years of experience in finance, currently serving as a Chief Manager at Tyger Capital & Tyger Home Finance. I focus on leveraging Python for data analysis and machine learning model development to turn complex datasets into data-informed decision-making.
I’ve innovated machine learning models and created performance scorecards to drive strategic business analysis, progress tracking, and risk mitigation. I also handled trigger enquiry automation using Python, SQL, and AWS to improve operational efficiency, and I built channel activation models to predict customer logins and support business growth. In my Bureau Thick & Thin Score Card work, I helped achieve a 1.5% reduction in 90+ Days Past Due (DPD) and Non-Performing Assets (NPA).
Earlier, as an Analytics Manager at Aditya Birla Housing Finance Limited, I guided teams, automated analytics workflows using Python/SQL/AWS to improve processing speed and generate MIS, and translated stakeholder needs into data-driven solutions. I’ve successfully conceptualized and deployed a Branch Default Propensity Model within six months, strengthening early detection of high-risk branches and improving risk management strategies.
Experience
Work history, roles, and key accomplishments
Chief Manager
Tyger Capital & Tyger Home Finance
Jan 2025 - Present (1 year 2 months)
Developed and deployed the Branch Default Propensity Model within six months to enable early detection of high-risk branches. Created bureau-based scorecards and ML-driven automation that helped reduce delinquency (30+ DPD) and NPA by 1.5% while improving credit risk decisioning.
Analytics Manager
Aditya Birla Housing Finance Limited
Jan 2022 - Jan 2025 (3 years)
Led channel activation and trigger inquiry models to assess customer login propensity and support proactive engagement. Automated analytics workflows using Python, SQL, and AWS and improved processing time from 48 hours to 60 seconds while delivering MIS and KPI dashboards to stakeholders.
Education
Degrees, certifications, and relevant coursework
VJTI Mumbai
Master of Technology
Grade: CGPA 8/10
MTech from VJTI Mumbai (CGPA 8/10).
Atharva College of Engineering
Bachelor of Engineering
Grade: CGPA 7.5/10
B.E from Atharva College of Engineering (CGPA 7.5/10).
Availability
Location
Authorized to work in
Job categories
Skills
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