Engineer Engineering
Resume:
PERSONAL INFORMATION Abhiram Shanbhog
Flat no. **2, Shivadurga Nandanam, Vivekanandanagar, Bengaluru, 560085, India
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https://www.linkedin.com/in/abhiram-shanbhog-3939133a/ Sex Male Date of birth 29th December 1987 Nationality Indian Functional validation professional with semi-conductor industrial experience (4 years) in validating graphics PM features. Experienced in SQL queries, database management, dashboard creation in tableau and excel and python programming. Have worked in agile methodology with scrum framework. I have finished Data Science PG diploma course recently and actively looking for jobs in data science domain. EDUCATION AND TRAINING
HOBBY PROJECTS
Git hub link for the below projects: https://github.com/Abhie29/IIITB-Upgrad-DS
Online Course Lead Case study:
o Problem : An online learning company needs help with noticing the potential leads and nurture them for future conversions.
o Approach : Clean the data. Convert some of the attributes using dummy variables to generate categorical values. Select the features based on feature evaluation metrics. Build a logistic model to predict the lead.
Car Prices case study:
o Problem : A car company is entering the American market and needs analysis on which independent variables affect the manufacturing of cars and their pricing. o Approach: Here I used a simple linear regression to evaluate the variables which are affecting the car price. The variables chosen were independent from each other to see, individual relation with pricing.
HELP NGO fund utilization study:
o Problem: HELP NGO needs help on analyzing the socio-economic and health factors of multiple countries and provide a cluster of countries in which they can utilize their funds for development.
o Approach: PCA(Principal Component Analysis) was used to obtain PCs so as to build a clustering model(K-means) to cluster the countries based on their socio- economics factors.
Telecom Churn case study:
o Problem : A telecom company requires help in identifying customers who are about churn, so that they can retain them.
o Approach: This could be done using a logistic model. But for the learning purpose, I used PCA to obtain the PCs and build a Random forest classifier model to obtain churn cases. SEP 2018 – JUL 2019
AUG 2012 – JUL 2014
PG Diploma in Data Science (3.0/4.0)
International Institute for Information Technology with Upgrad, India Master of Engineering in Embedded Systems (9.1/10) School of Information Science, Manipal University, India AUG 2005 – JUN 2010
Bachelor of Engineering in Medical Electronics (62.33%) Dayanand sagar college of Engineering, VTU, Bengaluru, India JOB-RELATED SKILLS
WORK EXPERIENCE
Programming Languages
MachineLearning tools
Analytics tools
Big data Tools
Python, Hive QL, SQL(2+ year experience)
Scikit learn, Statsmodel
Pandas, Numpy, Matplotlib, Tableau(2 years), MS Excel(2 years) Hadoop, Spark (Pyspark)
Aug 2014 – Jan 2019 Functional Validation Engineer Intel India Corporation, Bengaluru, India
Validation of power management features in graphics for gen 6th and gen 7th processors.
Worked on SQL database, have extensive hands-on experience with SQL queries and database management.
Tableau and ms- excel expertise on creating interactive dashboards, plots and analysis with excel.
Wrote python scripts to enhance the existing tools.
Built logistic classification model to bucketize actual hangs from false cases. This helped debugging issues faster and hit deadline much earlier.
Twice, won department recognition Award.
Multiple recognition awards from other teams I collaborated with. Jul 2013 - Jul 2014 Intern
Intel India Corporation, Bengaluru, India
Ramped up on Intel Architecture (IA-32), worked on emulation validation methodology refinement and debug tools.
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