#***, **** ****, ********** *****, Bangalore-**

789-***-****

https://github.com/avipeddi/Capstone-Projects.git

adahp7@r.postjobfree.com

AVINASH M PEDDI

OBJECTIVE To secure a challenging position in a reputable organization to expand my learnings, knowledge and skills and utilize the same to make a significant contribution to the success of the company.

PROFESSIONAL

SUMMARY

Having hands on experience in implementing dashboards, data visualizations and analytics using Tableau Desktop.

Good knowledge in analyzing and pre-processing datasets in jupyter notebook

Have good understanding in implementing machine learning algorithms for predictive analysis.

Good knowledge in executing SQL queries.

Basic understanding of Big data technologies like Apache Spark, Hadoop. EDUCATION B. E, BMS COLLEGE OF ENGINEERING, BANGALORE, YOP - 2019 Branch : Medical Electronics

CGPA : 8.3

PUC, VIDYAMANDIR IND. PU COLLEGE, BANGALORE, YOP - 2015 Branch : PCMB

Percentage : 88.17%

SSLC, SVN ENGLISH SCHOOL, BANGALORE, YOP - 2013

Percentage : 93.44%

TECHNICAL

SKILLS

Languages : Python, SQL

Analytical tools : Jupyter notebook, Pycharm

BI Tools : Tableau

Databases : PostgreSQL

Analytical skills : Data wrangling, mining and Visualization. Text mining.

Machine Learning Algorithms: Regression, Classification, Decision trees, Random forest, Support Vector Machine (SVM) etc.

PROJECTS FEATURE BASED PRICE PREDICTION OF USED CARS – (AUGUST - 2019) Language: Python

Tool: Jupyter notebook

Prediction based model which considers different attributes of used car.

Statistical methods like ANOVA, Pearson correlation are used for Feature selection.

Nearly 84% of variation is explained by the Ridge regression model with Grid search CV.

911 EMERGENCY CALLS - (AUGUST - 2019)

Language: Python

Tool: Jupyter notebook

Project mainly focus on exploratory data analysis of raw data and obtain meaningful insights of it.

Analyses the magnitude of the calls per day of the week or the month for different reasons of the calls using visualization tools.

CERTIFICATIONS Class-room Training :

Certified by Inventateq on Data Science with Python, Machine Learning

(August 2019)

Online Course :

Python 101 for Data Science (PY0101EN, provided by Cognitive Class)

(July 2019)

Data Analysis with Python (DA0101EN, provided by Cognitive Class)

(July 2019)

WORKSHOPS Attended workshop on BIG DATA ANALYTICS organized by Philips HealthTech, Bangalore and BMSCE IEEE-EMBS Student Chapter.

EXTRA

CURRICULAR

ACTIVITIES

Coordinator Fine Arts Club, BMSCE (2017 – 2018)

Event Coordinator, Utsav 2017, BMSCE.

DECLARATION

I hereby declare that the above information is correct to the best of my knowledge and I take complete responsibility for any false information.

Date: Yours Faithfully

Place: (AVINASH M PEDDI)

Contact this candidate