kota lakshmanarao

Data Scientist

https://talent.gravityer.com/kota-lakshmanarao

DataScientist

L&L ai solutions

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with various machine learning and deep learning applications (fraud detection, image classification, recommendation systems, customer segmentation).
Proficiency in Python and Jupyter Notebook for data science tasks.
Active engagement with GitHub for project showcasing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on data science and machine learning, aligning well with a Data Scientist role. The diversity of project topics (fraud detection, medical imaging, recommendation systems, customer segmentation) indicates a broad interest within the field. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaborative cultural fit. The single professional experience as a Data Scientist is current, but no details are provided about the role or company culture.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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

ml_flow_experiment_demo

February 2, 2025 – February 2, 2025

ml_flow_experiment_demo — GitHub repository

View Project

chest_cancer_classification_using_CT_scan_images

February 2, 2025 – February 4, 2025

chest_cancer_classification_using_CT_scan_images — GitHub repository

View Project

Deep_learning_notes

February 1, 2025 – March 9, 2025

Deep_learning_notes — GitHub repository

View Project

Gen_AI_Material

January 11, 2025 – January 13, 2025

Gen_AI_Material — GitHub repository

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IndiGo-Airline-Passenger-Referral-Prediction

January 4, 2025 – February 1, 2025

IndiGo-Airline-Passenger-Referral-Prediction — GitHub repository

View Project

Credit_Card_Fraud_Detection_end-to-end_Project

November 24, 2024 – December 30, 2024

Credit_Card_Fraud_Detection_end-to-end_Project — GitHub repository

View Project

Book_Recommendation_systems

September 30, 2024 – September 30, 2024

Book_Recommendation_systems — GitHub repository

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Python_notes

August 20, 2024 – November 25, 2025

Python_notes — GitHub repository

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Online_Retail_Customer_Segmentation

April 3, 2024 – April 3, 2024

Online_Retail_Customer_Segmentation — GitHub repository

View Project

DATA-SCIENCE_WORKSHOP_IIT_HYDERABAD

February 18, 2023 – April 29, 2024

DATA SCIENCE RELATED NOTES

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with various machine learning and deep learning applications (fraud detection, image classification, recommendation systems, customer segmentation).
Proficiency in Python and Jupyter Notebook for data science tasks.
Active engagement with GitHub for project showcasing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

kota lakshmanarao

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit