Allena Venkata Sai Abhishek

I am a highly skilled professional with a deep fascination for developing complex models that address real-time challenges. With my extensive knowledge in the field of Machine and Deep Learning, I am dedicated to integrating these cutting-edge technologies into different environments, with the ultimate goal of making them accessible to all.

Whether you need to tackle a business problem or find a solution to a societal issue, I have the experience and the expertise to help you achieve your goals. So if you're looking for a dedicated problem solver who can provide efficient and effective solutions, I'm the right choice for you!

Looking for a solution-focused expert to solve complex real world problems, with expertise in AI, ML, Computer Vision, Deep Learning, Data Science & Full Stack Web Development?

Look no further!

MS in ML & AI (Liverpool John Moores University) Spl. in Advanced Computer Vision and NLP
Advance Executive Post Graduate in ML & AI (IIIT B) Spl. in Deep Learning
M.Tech in Data Science(GITAM), University Gold Medalist
B.Tech in CSE(VIT),
7+ published papers in Scopus Indexed Journals,
Over 300 projects on GitHub,
Over 18K networks on LinkedIn,
500K+ viewership on Quora & Medium.
3X Kaggler Expert with Top #100 Global Rank

Preferred Name : Abhishek
Email for Research Collaboration :researchforavs.abhishek@gmail.com
Email for Hiring me : jobsforavs.abhishek@gmail.com

Phone [Research, Contract-based work, Freelance Gigs & Business] : +91-89406-24448
Phone [Hire me for Full-Time Job Opportunities] : +91-73963-02468

my skills download cv

Work Experience

Research & Development Intern

Blaize, Telangana, India

Sep'21 to Mar'22

Built, Unit tested & Integrated Image Augmentation API for Blaize’s code-free AI software platform for End-to-End Edge AI life cycle called AI Studio using Flask-restful.

Developed a fast & efficient Gesture Recognition model using various Deep learning models like LSTM, GRU, and Transfer learning

Dataset format conversions to COCO format & metadata generation.

Data Science Intern

Aam Aadmi Party - New Delhi, India

Aug'19 to Oct'19

As a member of the Data Analytics Cell of the national political party, efficiently scrapped from web and extracted data from social media platforms through APIs and stored the data with its polarities in CSV files and appended to the dataset

Improved the accuracy of various models used for predictions of the outcome of the election by 8% based on the dataset created.

Machine Learning Intern

Visakhapatnam Steel Plant, Andhra Pradesh, India

May'19 to Jun'19

Efficiently improved the future profit margins of steel production of VSP using the 2-year steel production and revenue data using ML algorithms with a deployment of a static website to display the findings.

Data Analytics Intern

NICO Info Systems Inc, Telangana, India

May'17 to Jul'17

Successfully developed a Credit card fraud Detection application by using various Clustering & Machine Learning concepts.

AI Engineer Intern Jun'20 to Jul'20

KPMG - Bangalore, India

Analysed customer-level data of a leading telecom firm & built precision predictive models to identify the high risk of churning customers & the critical indicators of churns.

Built a fast API app with an efficient multiclass melanoma detection model using a custom CNN with an accuracy of 91.75%. It can evaluate images & alert dermatologists about the melanoma's presence, reducing much manual effort needed.

Deep Learning Intern Jun'19 to Jul'19

Hewlett Packard Enterprise - Telangana, India

Deployed an efficient ML Pipeline for image classification while making the insights interpretable for effective decision making with Explainable AI.

Efficiently improved the accuracy of the object detection model by 10% by designing a custom-built neural network model over CNN & ResNet18 model for multiple datasets for the AI studio platform.

Full stack Web Development & Computer Vision Intern

Taj Animation XP - Andhra Pradesh, India

May'18 to Jul'18

Successfully created an efficient Static website that was a clone of Facebook & Efficiently

Developed object detection deep learning based model using YOLO v2

My Education

Liverpool John Moores University, United Kingdom

Master of Science (M.S)
Machine Learning and Artificial Intelligence

Spl. Advance Computer Vision and NLP

2022 - 2023
CGPA - 4.0/4.0

International Institute of Information Technology, Bangalore

Executive Post Graduation
Machine Learning & Artificial Intelligence

Spl. Deep learning

2022 - 2023
CGPA - 10.0/10.0
Dean's list accreditation

Gandhi Institute of Technology and Management (GITAM), Vizag

Masters of Technology (M.Tech)
Data Science
2020 - 2022
CGPA - 9.5/10.0
University Gold Medalist

Vellore Institute of Technology , Vellore

Bachelor of Technology (B.Tech)
Computer Science and Engineering
2016 - 2020
CGPA - 3.3/4.0
2 Lakhs Scholarship Recipient for securing All India Rank #101

Bhavans Gangabux Kanoria Vidyamandir

Junior College (11 & 12 Grade)
Phy, Chem, Maths & Computers [CBSE Board]
2013 - 2015
Grade - 85.6%
7th SOF-NSO Merit Certificate for 20th Zeal & 540th International Rank

Bhavans Gangabux Kanoria Vidyamandir

Primary and Secondary School (10th Grade)
Science and Mathematics [ CBSE Board ]
2011- 2013
CGPA - 10.0/10.0
Kulapati K.M. Munshi Award in Mathematics & School Topper

My Skills

Deep Learning

95%

Machine Learning

90%

Data Science

85%

Statistics

85%

Pattern Recognition

90%

DBMS & SQL

90%

Version Control
(Git, GitHub, GitLab),
Bash, Unix, Linux

95%

Neural Networks & Transfer Learning
(ANN, CNN, RNN, LSTM, GRU, GANs, Encoder Decoder)

85%

Data Structures, OOPs & ALgorithm

65%

Natural Language Processing (NLP)

80%

Python

90%

TensorFlow, Keras, Pytorch

80%

Computer Vision

95%

Pandas

90%

Numpy

95%

Matplotlib

85%

PIL, Open CV, Scikit-Image

85%

Selenium

80%

Microsoft Azure Analytics, T-SQL & PySpark

75%

MS Office ( MS Excel, MS Word,
MS PowerPoint, MS Outlook )

95%

Explainable AI, SHAP

70%

Exploratory Data Analysis & Business Analytics

90%

Image Recognition, Object Detection Algorithms

90%

Data Cleaning & Data Visualization

90%

Unit Testing

80%

Agile Methodology, SDLC, Ticketing Softwares

90%

Full-Stack Web Development (HTML, CSS, Js, JSON, React, Node.js)

65%

Flask & Rest APIs

70%

Seaborn

75%

Scikit-learn (SkLearn)

85%

Explainable AI, SHAP

70%

PHP, WAMP, XAMP, Postman

70%

My Projects

Emotion Recognition

Computer Vision & Deep Learning

Detectron Object Detection & Manipulating Images Using Cartoonization

Deep Learning & Computer Vision

Smart Poultry Farming System

Internet of Things(IOT)

Retinopathy Using ResNet-50

Deep Learning

Egg Monitoring

Internet of Things(IOT)

Stock Prediction

Machine Learning

Easy Tic Tac Toe

Android Development

Image Captioning

Deep Learning, Computer Vision & NLP

Egg Monitoring

Internet of Things(IOT)

Stock Prediction

Machine Learning

Easy Tic Tac Toe

Android Development

Image Captioning

Deep Learning

Stock Prediction

Machine Learning

Easy Tic Tac Toe

Android Development

Image Captioning

Deep Learning

18424

Hours Worked

2989

Cups of Coffee

7

Papers Published

342

Projects Finished

Paper Publications

Improving Model Performance And Removing The Class Imbalance Problem Using Augmentation.

Publisher: International Journal of Advanced Research In Engineering And Technology (IJARET)
View Publication

Augmentation Techniques Analysis with removal of Class Imbalance using PyTorch for Intel Scene Dataset.

Publisher: International Journal of Innovative Research in Technology - IJIRT

View Publication

Resnet18 Model with Sequential Layer For Computing Accuracy On Image Classification Dataset.

Publisher: International Journal of Creative Research Thoughts - IJCRT

View Publication

Deep PCB to COCO Convertor.

Publisher: International Journal for Research in Engineering Application & Management - IJREAM
View Publication

Augmented Balanced Image Dataset Generator Using Augstatic Library

Publisher: International Journal of Research And Analytical Reviews - IJRAR

View Publication

AugStatic - A Light-Weight Image Augmentation Library.

Publisher: Journal of Emerging Technologies and Innovative Research - JETIR

View Publication

Detectron2 Object Detection & Manipulating Images using Cartoonization.

Publisher: International Journal of Engineering Research & Technology - IJERT

View Publication

My Contact

Address / Street

Visakhapatnam, India

Contact Number

+91-8940624448

Connect Me

https://www.https://www.linkedin.com/in/allena-venkata-sai-abhishek-381937156/

I'm Allena Venkata Sai Abhishek

Deep Learning Researcher Computer Vision Scientist AI Engineer Machine Learning Engineer Python Developer Data Scientist Research Engineer

Work Experience

Research & Development Intern

Blaize, Telangana, India

Sep'21 to Mar'22

Data Science Intern

Aam Aadmi Party - New Delhi, India

Aug'19 to Oct'19

Machine Learning Intern

Visakhapatnam Steel Plant, Andhra Pradesh, India

May'19 to Jun'19

Data Analytics Intern

NICO Info Systems Inc, Telangana, India

May'17 to Jul'17

AI Engineer Intern Jun'20 to Jul'20

KPMG - Bangalore, India

Deep Learning Intern Jun'19 to Jul'19

Hewlett Packard Enterprise - Telangana, India

Full stack Web Development & Computer Vision Intern

Taj Animation XP - Andhra Pradesh, India

May'18 to Jul'18

My Education

Liverpool John Moores University, United Kingdom

Spl. Advance Computer Vision and NLP

International Institute of Information Technology, Bangalore

Spl. Deep learning

Gandhi Institute of Technology and Management (GITAM), Vizag

Vellore Institute of Technology , Vellore

Bhavans Gangabux Kanoria Vidyamandir

Bhavans Gangabux Kanoria Vidyamandir

My Skills

Deep Learning

95%

Machine Learning

90%

Data Science

85%

Statistics

85%

Pattern Recognition

90%

DBMS & SQL

90%

Version Control (Git, GitHub, GitLab), Bash, Unix, Linux

95%

Neural Networks & Transfer Learning(ANN, CNN, RNN, LSTM, GRU, GANs, Encoder Decoder)

85%

Data Structures, OOPs & ALgorithm

65%

Natural Language Processing (NLP)

80%

Python

90%

TensorFlow, Keras, Pytorch

80%

Computer Vision

95%

Pandas

90%

Numpy

95%

Matplotlib

85%

PIL, Open CV, Scikit-Image

85%

Selenium

80%

Microsoft Azure Analytics, T-SQL & PySpark

75%

MS Office ( MS Excel, MS Word, MS PowerPoint, MS Outlook )

95%

Explainable AI, SHAP

70%

Exploratory Data Analysis & Business Analytics

90%

Image Recognition, Object Detection Algorithms

90%

Data Cleaning & Data Visualization

90%

Version Control
(Git, GitHub, GitLab),
Bash, Unix, Linux

Neural Networks & Transfer Learning
(ANN, CNN, RNN, LSTM, GRU, GANs, Encoder Decoder)

MS Office ( MS Excel, MS Word,
MS PowerPoint, MS Outlook )