Ashwani Mishra

AI Engineer

https://www.opentalent.in/ashwani-mishra

AI Engineer with less than a year in Python and Java, eager to contribute to software development an

Key Strengths

Demonstrated foundational understanding of AI/ML concepts through academic projects (Sentiment Analysis).
Experience with data processing and analysis using Python libraries (Pandas, NumPy, Matplotlib) relevant for AI data pipelines.
Certification in AWS Generative AI Foundations indicates a proactive interest and basic knowledge in a key AI domain.
Proficiency in Python, a core language for AI/ML development.
Experience with SQL and database management (MySQL) is valuable for data-intensive AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate is a student with academic projects and certifications, indicating a strong drive for learning and self-improvement. Participation in an Inter-College Ideathon and D4 Club membership suggests an ability to work in teams and engage in technical communities. The projects demonstrate an interest in practical problem-solving using data and AI, which aligns with an innovative and results-oriented culture. However, the lack of professional experience limits the assessment of long-term cultural alignment.

Soft Skills & Operational Fit

The candidate's participation in a hackathon and academic projects suggests an ability to collaborate, troubleshoot, and work under deadlines. The profile summary mentions being a 'quick learner' and 'eager to contribute to real-world software development', indicating a positive attitude towards learning and teamwork. However, without specific behavioral assessment data, a deeper evaluation of soft skills and operational fit is limited.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

B.Tech Computer Science student (2027 batch) with strong proficiency in Python, Java, and C++, and hands-on experience in software development, data structures, and SQL database management. Proven ability to design, build, test, and debug end-to-end applications. Quick learner with a track record of collaborative technical problem-solving through hackathons and academic projects. Eager to contribute to real-world software development in a fast-paced IT consulting environment. Open to relocation to Gurgaon / Panchkula.

Top Skills

PythonJavaSQLGenerative Ai

Education

Chandigarh Engineering College

Bachelor of Technology (B.Tech) · Computer Science

August 1, 2023 – June 30, 2027

Army Public School

Secondary Education

N/A – May 31, 2020

Army Public School

Senior Secondary · Science Stream

N/A – May 31, 2022

Projects

Sentiment Analysis of X for Insights

January 1, 2025 – June 1, 2025

Designed and developed a full sentiment analysis pipeline to classify tweets as positive, negative, or neutral. Implemented NLP preprocessing techniques including tokenization, stop-word removal, and lemmatization; debugged pipeline to ensure consistent classification accuracy. Built and managed a MySQL database schema to store and query tweet data efficiently. Developed, tested, and evaluated machine learning models for sentiment classification; troubleshot accuracy issues through iterative model refinement.

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Retail Sales and Consumer Behaviour Analysis of Local Blinkit Store

January 1, 2025 – June 1, 2025

Designed and built an end-to-end data pipeline to collect and process 15 days of real-world retail sales data from a local Blinkit store, applying software development best practices. Developed and debugged preprocessing modules to handle missing values, inconsistent product names, and outliers resolving data integrity issues through iterative troubleshooting. Wrote and tested visualization scripts to compare most-sold vs least-sold products, category-wise sales distribution, and daily revenue trends. Generated actionable business insights to support inventory planning, demand forecasting, and product optimization. Identified low-performing products and provided data-driven suggestions to improve sales performance.

View Project

Certifications

AWS Academy Graduate – Generative AI Foundations

AWS Academy

September 1, 2025 – Present

Oracle Certified - Completed SQL course

Oracle

January 1, 2025 – Present

Key Strengths

Demonstrated foundational understanding of AI/ML concepts through academic projects (Sentiment Analysis).
Experience with data processing and analysis using Python libraries (Pandas, NumPy, Matplotlib) relevant for AI data pipelines.
Certification in AWS Generative AI Foundations indicates a proactive interest and basic knowledge in a key AI domain.
Proficiency in Python, a core language for AI/ML development.
Experience with SQL and database management (MySQL) is valuable for data-intensive AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit