Arham Zamindar Email & Phone Number

Mumbai, Mh, In

Mumbai, Maharashtra, India

Gurugram, Haryana, India

Developed a high-performing XG Boost propensity model that accurately identifies loan-interested customers, predicts approvals, and estimates higher sanction amounts. Achieved an impressive 76% recall rate, resulting in a 3x increase in disbursal for targeted marketing campaign channels.Implemented automated monthly data policy for 5 pre approved personal loan partners, leveraging credit bureau data (CIBIL). Streamlined data processing and enabled targeted campaigns, resulting in over 200 cr in business growth.Facilitated in-depth analysis and evaluation of CIBIL bureau data, resulting in a significant 14.8% risk reduction through automated removal of defaulter individuals.,with only a 3.2% customer base reduction.Identified areas for business improvement and implement strategies to enhance performance.Responsible for formulating policies that guide the Personal Loan product, ensuring compliance and efficiency. Conducted extensive customer analysis to benchmark offers and tailor them to maximise conversions and customer satisfaction.Managed credit alerts product analytics, automating lead allocation and achieving 2x growth within 3 months.Automated Python and SQL scripts, delivering accurate reports promptly, saving 14 weekly manual work hours. Enabled data-driven decision-making for senior management and product managers.

Gurugram, Haryana, India

Performed web scraping on gaming websites to extract data for utilisation in machine learning and data analytics.Developed engaging content on Python, SQL, and machine learning for blog publications.Actively participated in hackathons, solving diverse problem sets and showcasing problem-solving skills.

Mumbai, Maharashtra, India

Upgraded the model named Recruiter Mapping to filter out the best recruiter that should close the job and rank them using content-based filtering.Spearheaded the development of an automated Candidate Ranking algorithm that assessed job seekers' compatibility with job requirements, resulting in a 40% increase in the quality of hired candidates and a 30% decrease in time-to-hire.

I developed a resume parser, an AI-powered solution that automates the extraction of key information from resumes, transforming unstructured data into organised formats to enhance recruitment processes. This innovation effectively categorizes candidate details, optimising the analysis and management of resumes.Engineered and implemented an advanced Candidate Ranking system, parsing and analysing thousands of resumes against job descriptions, resulting in a 50% reduction in time spent on candidate evaluation and selection.

Mumbai, Maharashtra, India