Sai Jeelakarra

Data Scientist

https://www.opentalent.in/sai-jeelakarra

Synopsys Inc

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'Traffic-Prediction' and 'Detection-and-Recognition-of-illegally-parked-vehicles'.
Experience with Python, a core language for Data Science.
Exposure to computer vision concepts in 'Detection-and-Recognition-of-illegally-parked-vehicles' and 'Emoticon' projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a diverse set of personal projects, ranging from mobile app development (Kotlin, Java) to web development (JavaScript, HTML, CSS) and machine learning (Python). This breadth suggests a curious and adaptable individual. The current role as 'Data Scientist' at Synopsys Inc. aligns directly with the target role, indicating a clear career path. However, the experience level is listed as 0, which contradicts the current full-time role, making it difficult to fully assess cultural fit based on professional experience.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, problem-solving under pressure, or communication clarity in a professional setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Detection-and-Recognition-of-illegally-parked-vehicles

May 1, 2019 – May 18, 2019

Using object detection and vehicle number plate recognition algorithms to detect illegally parked vehicles in no parking areas

View Project

Traffic-Prediction

November 20, 2018 – January 30, 2019

Predicting Real Time traffic using Machine learning algorithms - Intelligent transport systems project

View Project

DigitalStore-WebApp

July 17, 2018 – August 3, 2018

A Web based Application for Digital Store Android App

View Project

BarcodeScanner

July 17, 2018 – July 17, 2018

Scan any type of barcode using google mobile vision api

View Project

FirebaseMultipleImages

June 28, 2018 – June 28, 2018

FirebaseMultipleImages — GitHub repository

View Project

FirebaseMultipleImagesUpload

June 27, 2018 – May 11, 2019

Upload Multiple Images from gallery to firebase

View Project

MyClosetWear

June 7, 2018 – June 7, 2018

MyClosetWear — GitHub repository

View Project

sportu

May 8, 2018 – May 8, 2018

The app provides ball-by-ball coverage of all international cricket matches (Test, ODI and T20), Indian Premier League (IPL), ICC Cricket World Cup, Champions League T20, Big Bash and other major domestic tournaments from across the globe. Top Features: • Live Cricket Match Line Exchange • Match Scorecard • Intuitive and highly engaging with ball-by-ball updates and commentary • Alerts & Notifications for live matches and real-time scores • Latest & Trending cricket news • Updated schedules of upcoming matches • Video content and cricket match highlights videos of some countries • Rankings, Stats, and Records

View Project

Emoticon

May 7, 2018 – May 7, 2018

* Emoticon App is also known as emotion recognition or emotion detection technology. * This app detects complex and nuanced human Emotions and Cognitive states from face. * Humans use a lot of non-verbal cues, such as facial expressions, gesture, body language and tone of voice, to communicate their emotions. * Our vision is to develop Emotion AI that can detect emotion just the way humans express. Emotion Metrics : * The face provides a rich canvas of emotion. * Humans are innately programmed to express and communicate emotion through facial expressions. * Our technology scientifically measures and reports the emotions and facial expressions using sophisticated computer vision and machine learning techniques. This App mainly focuses on 7 common emotions. 1. Anger 2. Contempt 3. Disgust 4. Surprise 5. Sadness 6. Happiness 7. Fear Features : * Very small in size (3MB) * Share your emotions instantly with Scores * You can upload it as Whatsapp Status * Requires Internet connection * Only

View Project

SportU

May 7, 2018 – August 3, 2018

A fastest live score updates app.

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'Traffic-Prediction' and 'Detection-and-Recognition-of-illegally-parked-vehicles'.
Experience with Python, a core language for Data Science.
Exposure to computer vision concepts in 'Detection-and-Recognition-of-illegally-parked-vehicles' and 'Emoticon' projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Sai Jeelakarra

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit