D Prakash
Data ScientistAI | Machine Learning | Deep Learning Enthusiast
ACN
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI | Machine Learning | Deep Learning Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ACN
Data Scientist
June 16, 2026 – Present
DPrakashMewari.github.io-
October 30, 2025 – October 30, 2025
DPrakashMewari.github.io- — GitHub repository
View ProjectZomatoTimeTakenPrediction
April 24, 2023 – April 28, 2023
ZomatoTimeTakenPrediction — GitHub repository
View ProjectMysqlQuestion-Answers
April 14, 2021 – December 5, 2021
It contain SQL question and answers
View ProjectMachine-learning-general
February 3, 2021 – September 23, 2023
Machine-learning-general — GitHub repository
View ProjectCapaign_for_Selling_Personal_Loan
March 25, 2020 – April 3, 2020
Context This case is about a bank (Thera Bank) which has a growing customer base. Majority of these customers are liability customers (depositors) with varying size of deposits. The number of customers who are also borrowers (asset customers) is quite small, and the bank is interested in expanding this base rapidly to bring in more loan business and in the process, earn more through the interest on loans. In particular, the management wants to explore ways of converting its liability customers to personal loan customers (while retaining them as depositors). A campaign that the bank ran last year for liability customers showed a healthy conversion rate of over 9% success. This has encouraged the retail marketing department to devise campaigns to better target marketing to increase the success ratio with a minimal budget. The department wants to build a model that will help them identify the potential customers who have a higher probability of purchasing the loan. This will increase the
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven approach to learning and applying data science concepts. The diversity of project topics (loan prediction, food delivery time, student marks) suggests a broad interest in applying data science to different domains. However, without details on team collaboration or project methodologies, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's current role as 'Data Scientist' at ACN is noted, but no details on responsibilities or achievements are provided. Project descriptions are brief, limiting insight into problem-solving or collaboration.