AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and 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
Python Developer | AIML | Data Analyst | Data Science | Python • SQL • MongoDB • Django • FastAPI • Flask • Tableau • Power BI • Excel • GenAI • LLM • RAG • AWS (EC2, S3, Event Bridge)
Hi this is Amir! With 2 years of professional experience as a Python Developer and creating Restful APIs, I bring a strong foundation in working with data to support informed decision-making, optimize operations, and uncover actionable insights. My work involves transforming complex information into clear, impactful solutions that align with business goals. Key strengths include: Advanced proficiency in Python (Pandas, NumPy, Seaborn, Matplotlib) for scripting, automation, and data exploration Hands-on expertise in SQL for querying, data modeling, and database operations Rest API on Django, Fast API and Flask to create a bridge between backend and frontend systems Development of interactive dashboards and reports using Power BI, Tableau, and Excel to drive visibility and performance tracking Effective at capturing and translating stakeholder requirements into measurable outcomes Strong understanding of Agile workflows, experienced with Azure DevOps for project and task management Familiarity with ETL pipelines, API integration, and working with structured/unstructured data Exposure to predictive analytics using tools like scikit-learn for regression and classification tasks Tools & Tech Stack: Python, SQL, Power BI, Tableau, Git, Jupyter, Excel, Azure DevOps, REST APIs, Django, FastAPI, Kafka, Exploratory Data Analysis and Feature Engineering. Domains: Tech, Networking I value clean, scalable solutions and continuous learning. Always open to collaborating on data-centric challenges that drive real-world impact.
Scaler
Master's degree, Computer Science
September 1, 2024 – January 1, 2027
Jamia Millia Islamia
Master of Technology - MTech, Environmental Science
October 1, 2020 – November 1, 2022
Jamia Millia Islamia
Bachelor of Technology - BTech, Civil Engineering
August 1, 2015 – July 1, 2019
Applore Technologies
Python Developer
September 1, 2025 – April 1, 2026
Noida, Uttar Pradesh, India · Hybrid
In2IT Technologies
Python Developer
June 1, 2023 – August 1, 2025
Noida, Uttar Pradesh, India · On-site
iNeuron.ai
Deep Learning Technology Intern (NLP)
March 1, 2023 – May 1, 2023
Bengaluru, Karnataka, India · Remote
iNeuron.ai
Deep Learning Technology Intern (Computer Vision)
December 1, 2022 – March 1, 2023
Bengaluru, Karnataka, India · Remote
iNeuron.ai
Data Scientist Intern
October 1, 2022 – December 1, 2022
Bengaluru, Karnataka, India · Remote
Tableau: Superstore Dashboard
September 1, 2024 – October 1, 2024
This is a tableau based project to look at insights of superstore data. i.e., Data visualization in actual terms. Here I create Stacked bar chart, Pareto Principle chart, Tree map and Combined axis visualisations of category and sub-category on Sales.
Air Quality Prediction Model for Delhi
November 1, 2021 – December 1, 2022
This is a Machine Learning project of my Master's dissertation named Prediction of AQI for Delhi. The model had been built on the 2020 AQI dataset of Delhi which I manually collected from Government sites. Data has been stored and visualized first on Excel. With the use of R programming the trends were found. By using Python libraries like Numpy and Pandas further data was analysed. Also, missing values and outliers were handled. Matplot library was used to plot all the required graphs. The dataset was trained on Linear Regression, Random Forest and other models out of which Random Forest gives the best Accuracy 84%. Front End work has been done with HTML. The model was deployed on Heroku.
Full Stack Data Science
iNeuron.ai
June 25, 2026 – Present
Frontend Development- HTML
Great Learning
June 25, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in Machine Learning and AI, aligning with the target role of ML Engineer. The progression from Civil/Environmental Engineering to Computer Science and AI roles indicates adaptability and a proactive approach to career development. The diversity of projects (ML prediction, data visualization) and roles (Python Developer, ML/DL Intern) suggests a broad interest in technology. However, the lack of open-source contributions or community involvement makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data collection, analysis, model building, and deployment. Experience in collaborative team environments is mentioned in previous roles, suggesting an operational fit for team-based development. The descriptions are clear, indicating good communication skills.