Profile

  • Swati Dhavala

    Risk & Fraud Analytics/Visualizations & Reporting
    150 /hr
    Nallagandla, Lingampalli Hyderabad, India - 09:29am local time
Overview
PROFILE SUMMARY
• MBA - Finance & Stats graduate with 3.5 years’ experience in Banking domain , seeking a transition in Data Science by pursuing a PGD in Data Science

ACADEMIC CREDENTIALS
• PG Diploma in Data Science IIIT-Bangalore & UpGrad I CGPA 3.55/4 Since Oct 2017
A comprehensive 11-month program taught by Industry experts and IIITB faculty; 7 case studies & projects; 400+ hours of academic learning & 30+ hours of industry mentoring
? PG Diploma in Management - Finance I CGPA 5.53/8 April 2011
Xavier Institute on Management and Entrepreneurship, Bengaluru
? PG Diploma in Banking Operations | 85% June 2007
IFBI, Chennai
? BSc- Stats (Hons) | 74.1% March 2006
Sri Venkateswara College, Delhi University, Delhi
? 12th | CBSE | 78.4% April 2003
? 10th | CBSE | 87% April 2001

KEY ACADEMIC PROJECTS
• Uber – Supply and Demand Project – Identified the root cause for the gap and suggested few strategies to ensure more availability of cabs during the peak hours.
• Identified the key driving factors which led to loan defaults, so that the company can ensure clean book and also not loose potential customers.
• Hr- Analytics

WORK EXPERIENCE
Credit Manager, ICICI Bank, Chennai Aug 2011 – Nov 2013
• Led a Team of 9 to process the loan by verifying borrower information, documents and review file documentation
• Reduced the TAT by 100% to 2 days in 4 months through rigorous training to sales and credit team.
• Identified the key factor for low audit score and worked on it to get the audit score of 98% in 6 months.
• Developed a “Deviation Module” to automate the credit appraisal which can reduce the TAT by 50%.

NRI – Relationship Manager, ICICI Bank, Chennai July 2007 – Oct 2008
• Provided NRI & Forex related services to the customers.
• Was able to generate ?.54 Million investment in a year , hence achieving my targets
• Handled complex customer complaints and challenges with effective resolution

KEY SKILLS
• Machine Learning Modelling Techniques • Analytics Languages: R (Intermediate)
• Visualization tools: Tableau, R • Hypothesis Testing
• Databases: MySQL • Statistics & Exploratory Data Analysis
• Ms-Excel (Intermediate)

ACCOLADES
? “Retail Sprinter” for processing the highest number of files in that quarter
? Earned the title of “Quick Learne
Portfolio
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Availability
  • Available
Profile Link
Languages
  • R
  • Ms-excel