SIDDHARTHA KANCHARLA

Phone – 905-***-**** Email – adh8ab@r.postjobfree.com

SUMMARY

I am passionate to implement effective solutions, optimizing processes with insights drawn from analyzing the data, I have experience working on Docker Containers, Aws Cloud Services (EC2, Lambda), Strong command in Prediction modeling, Data visualization, worked on analytics-driven problem statements, and developed NLU Language models on Rasa and google dialogue flow for chatbot development, trained and Developed Computational Neural Network classification and detection models, and worked on android studio for development of mobile applications, integrated Multiple applications to Firebase and SQL Databases.

INTERNSHIP EXPERIENCE

THINKQUIC.INC, Artificial Intelligence Engineer Intern JUNE 2020 – NOVEMBER 2020

I have worked on building Docker pipeline with NLP Language model and AWS Elastic search to integrate into an EDA Tool, developed Dynamic Scarping module from scratch

(without using any third-party modules) to scrape data from multiple websites dynamically. ROBOKALAM, Artificial intelligence Engineer Intern May 2020 - August 2020

I have worked on development and training of Image classification algorithm and have attained 95.8% recall, 93.2 % Precision and 97% Accuracy, main objective of the project was to scan food items and get nutrition value details in response. CALICHE, Machine learning Engineer Intern

May 2020 - June 2020

I have worked on Q-learning reinforcement learning algorithm with Trajectory data. focus on parameters MD, TVD, Inclination, Azimuth, North and East Coordinates, to optimizes drilling angle optimization for oil drilling use-case, and have attained 87% accuracy. SKILLS

Python

Java

SQL

Analytics

Predictive modeling

Computer vision

NLP

AWS

CERTIFICATIONS

Microsoft Technical Associate:

Introduction to Programming Using

Python (Microsoft-Certified)

Microsoft Technical Associate:

Introduction to Programming Using

Java (Microsoft-Certified)

Big Data Programming Using Info

Sphere Big Insights (IBM-Certified)

Data Analytics for Lean Six Sigma

(COURSERA-CERTIFIED)

AWS Fundamentals: Specialization

(COURSERA-CERTIFIED)

Neural Networks and Deep Learning

(COURSERA-CERTIFIED)

DOTLINKER TECHNOLOGIES, software Developer Intern

May 2020 - June 2020

I have worked on Android Studio to develop Login module for mobile application and integrated firebase Database and MySQL database to the login module, I have written the Java code for login module authentication of the mobile application and have written Php script for MySQL connectivity and for authentication of the application to the cloud. KRYION TECHNOLOGIES, Artificial Intelligence Developer intern JUNE 2019- JULY 2019

I have worked on google dialogue for chatbot development, flask to deploy the chatbot into Android application. main objective of the chat-bot was to handle the user query related to companies’ services in needed regional language (the chat-bot supports 8 languages).

KRYION TECHNOLOGIES, Android Developer intern

JUNE 2019- JULY 2019

I have worked on android Studio for design and development of android Application and for Database Connectivity worked on Firebase-Database and integrated the that chat-bot developed into the android application.

SMART BRIDGE, Machine Learning Engineer Intern

MAY 2019 - JUNE 2019

I have a Designed a Linear Regression Algorithm for Generating Predictions to drive the, business strategy. Used supervised Machine Learning Algorithm Approach on Anaconda Environment performed Data cleaning, Feature Extraction and Data Labelling, have Achieved 87% Validation Accuracy with KNN (K-Nearest Neighbours) Algorithm. PROJECTS

FACE-DETECTION-MASK-DETECTION-SOCIAL-DISTANCING-DETECTION INTEGRATED TO ROS (ROBOTIC OPERATING SYSTEM)

Developed and Trained the Face Detection, Mask Detection and Social Distancing Algorithms with YOLO V4 on NVIDIA Jet-son Tx2 and integrated the Algorithms developed into Ros-(version-kinetic)

GITHUB: https://github.com/siddharthakanchar/Face-Detection-Mask-detection-social- distancing-detection

PORTFOLIO

GitHub:

https://github.com/siddharthakanch

ar

LinkedIn:

https://www.linkedin.com/in/siddha

rtha-kancharla/

Medium:

https://medium.com/@siddharthak

ancharla

SPEECH-EMOTION-RECOGNITION-USING-LIBROSA

Used an MLPClassifier for this Problem statement and made use of the sound file library to read the sound file, and the Librosa library to extract features from audio sample. GITHUB:https://github.com/siddharthakanchar/Speech-Emotion-Recognition-with-librosa CEREALS DATA ANALYSIS

Using Machine learning regression algorithms have developed solution to forecast market sales of cereals, pinpointing factors affecting the sales, have attained 94% accuracy with KNN Algorithm.

GITHUB: https://github.com/siddharthakanchar/Cereals-Data-analytics- URL CLASSIFICATION PREDICTION MODEL

The algorithms used were, Random forest classifier (RFC), K - nearest neighbours (KNN) and Decision tree algorithm. After pre-processing the respective data set, trained and tested the algorithms accuracy score and recall score

GITHUB:https://github.com/siddharthakanchar/Url-classification-Prediction-Model- LOCATION TRACKER APP WITH FIREBASE-DATABASE CONNECTIVIT- ANDRIOD APPLICATION

Developed with Android studio and Firebase DB for backend connectivity, Application app fetches the Longitude and Latitude of the Current location and Sends the location coordinates to cloud

GITHUB: https://github.com/siddharthakanchar/Location-Tracker-App-with-Firebase- database-

RESEARCH PUBLICATIONS

JETIR (Journal of Emerging Technology and Innovative Research)- Classification of web-URLs – An Approach using Machine learning ATRR (Advanced Technological Research and Review) Journal- Location tracker System – An application For Women Safety.

EDUCATION

GITAM UNIVERSITY, HYDERABAD— B. TECH (E.C.E)

JUNE 2016 - MAY 2020 CGPA:7.3

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