Prashant Kumar Silver
It`s not the job you do ,it's how you do the job.
Prashant Kumar studied BE BTech at Malla Reddy Engineering College, based in Hyderabad.
I would describe myself as being very resourceful and ambitious at the same time .I find solution,get creative and solve problems without needing the help of coworkers or managers.I know when to ask for help and I don't stay quiet if I do need assistance.
- Based in
- Hyderabad, Andhra Pradesh
Career aim: A proactive and fast learning individual seeking an opportunity to work as a dynamic data analyst utilizing analytical & methodical skills and relevant expertise to help the company achieve business goals while sticking to vision, mission & values.
Common questions
- Who is Prashant Kumar?
- Prashant Kumar studied BE BTech at Malla Reddy Engineering College, based in Hyderabad.
- Where did Prashant Kumar study?
- Prashant Kumar studied Bachelor of Engineering or Technology in Mechanical Engineering at Malla Reddy Engineering College (2019).
Career and education
BronzeEducation
- Bachelor of Engineering or Technology, Mechanical EngineeringMalla Reddy Engineering College 2015 to 2019
Achievements
BronzeProjects
- Customer segmentation for one of the telecom company to define marketing strategy
To divide the customers into Segments to define strategy. Analytics Tools: Excel, Python Analytics Technique: Segmentation (K-Means clustering)
- RFM (Recency, Frequency, Monetary) – Value Based Segmentation
To divide the customers into segments based on recency, frequency and monetary from transaction data and understand key value segments. Analytics Tools: Excel, Python Analytics Technique: Segmentation (RFM – Value Based)
- Customer Segmentation for one of leading Credit Card Company
To develop the customer segmentation to understand the customer behavior and define strategy for marketing. Analytics Tools: Excel, Python Analytics Technique: Segmentation (K-Means clustering)
- Inventory Management Forecasting.
: To forecast demand to manage inventory/stock for the future by using past 6 years data. Analytics Tools: Excel, Python Analytics Technique: Forecasting (ARIMA)
- Banking peer group lending (Identifying the key drivers of interest rates)
To predict interest rates based on borrowers and loan attributes and identify key drivers of interest rates and create an application to predict interest rate based on given customer and loan attributes. Analytics Tools: Excel, Python. Analytics Technique: Linear Regression
- Credit Card Spend (Identifying the key drivers of card spend)
To predict the credit card spend and identifying the key drivers of the card spend which help to define credit limit for new customers & increase it for existing customers. Analytics Tools: Excel, Python. Analytics Technique: Linear Regression
- Banking credit risk analytics
To determine whether the applicant is credit worthy or not to attract quality credit applicants to maintain an overall profitable portfolio. Analytics Tools: Excel, Python Analytics Technique: Classification (Logistic Regression)
- HR Analytics (Exploratory & Predictive Analytics)
To build retention model and this allows organizations to Identify high-risk employees who are going to attrite, build profiles of those most likely to leave or stay and understand how risk is distributed throughout the organization. Analytics Tools: Excel, Python Analytics Technique: Classification (Logistic Regression)
Network
BronzeClassmates
- Elagathi Sai KiranMalla Reddy Engineering College, class of 2019
- Zafar ImamMalla Reddy Engineering College, class of 2019
- Anugandula SumanthMalla Reddy Engineering College, class of 2019
- Gillella Sangeeth Varsh ReddyMalla Reddy Engineering College, class of 2019
- Omkar SaikiranMalla Reddy Engineering College, class of 2019
- Rubina TabassumMalla Reddy Engineering College, class of 2019
- Kokkonda HarithaMalla Reddy Engineering College, class of 2019
- Talari HemalathaMalla Reddy Engineering College, class of 2019
Profile
Bronze- Open to
- Full-time job
Interests
- Cricket
What we have, and what we might have wrong
This page is assembled from the sources below. Each section carries its own grade. Bronze 4 sections
- Career platform profile, as of 3 Oct 2026. Self-reported, with assessment scores where tested
Last rebuilt 3 Oct 2026. We may be wrong: names get matched to the wrong record, people change jobs, companies change status. What gets seen and reported gets fixed. How grades work.