Manas Kumar Mishra

TCS

Bhubaneswar, india

Since October 13, 2025

Skills

AI EngineersPythonTeam CollaborationAWS Cloud Service

Experience

TCS

Cloud Developer

July 1, 2025 – Present

Accenture India

Senior Analyst

December 1, 2022 – June 1, 2025

Kolkata, India

Capgemini India

Associate Consultant

August 1, 2021 – December 1, 2022

Hyderabad, India

Fusion

Chatbot Developer

November 1, 2020 – July 1, 2021

Kolkata

Vertscend Automation

Software Developer

May 1, 2020 – November 1, 2020

Pune

Key Strengths

Extensive experience (6+ years) in Python development, particularly in data engineering and machine learning roles.
Deep expertise in PySpark for scalable data solutions, including ETL, real-time streaming, performance optimization (Catalyst, broadcast, bucketing), and data quality (Delta Lake, schema enforcement).
Proven ability to design and implement fault-tolerant, high-throughput data pipelines (e.g., 2M events/sec with exactly-once semantics).
Strong background in AWS services (Lambda, Glue, Redshift, S3, DynamoDB, Kinesis, CloudWatch) for cloud-native data architectures.
Experience with ML model development (linear regression, logistic regression, decision trees) and feature engineering using PySpark MLlib and Scikit-learn.
Proficiency in data analysis, web scraping, and API development (Flask, REST API).
Experience with CI/CD practices for data validation (pytest), reducing production incidents by 60%.
Excellent technical match for a senior Python Engineer role with a strong data engineering and ML focus.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500 is a critical red flag, indicating severe deficiencies in areas such as logical reasoning, work attitude, stress handling, and team collaboration. This score suggests a fundamental mismatch with typical workplace cultural expectations and poses a significant risk to team dynamics and overall productivity.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Extensive experience (6+ years) in Python development, particularly in data engineering and machine learning roles.
Deep expertise in PySpark for scalable data solutions, including ETL, real-time streaming, performance optimization (Catalyst, broadcast, bucketing), and data quality (Delta Lake, schema enforcement).
Proven ability to design and implement fault-tolerant, high-throughput data pipelines (e.g., 2M events/sec with exactly-once semantics).
Strong background in AWS services (Lambda, Glue, Redshift, S3, DynamoDB, Kinesis, CloudWatch) for cloud-native data architectures.
Experience with ML model development (linear regression, logistic regression, decision trees) and feature engineering using PySpark MLlib and Scikit-learn.
Proficiency in data analysis, web scraping, and API development (Flask, REST API).
Experience with CI/CD practices for data validation (pytest), reducing production incidents by 60%.
Excellent technical match for a senior Python Engineer role with a strong data engineering and ML focus.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit