Md Inzamamul Haque
I am an undergraduate from IIT DHARWAD currently in my 4th year.
Contributions
0
Projects
0
Interviews
0
Events
Primary Education
IIT Dharwad
Chemical Engineering • 2026
Education History
IIT DHARWAD
BTech in Chemical • Dec 2022 - Jun 2026
4 year BTech course
Experience
Research Intern
Siemens • May 2024 - Jul 2024
Worked under the topic of “Drying of Li ion battery” under my mentor and created simulations to represent it.
Projects
AI resume Analyzer
Takes a resume as an input and process it according to the needs of the job description exposing vulnerability and strong points.
Shared Experiences (0)
Interviews Shared
Md Inzamamul Haque
Hummingwave Technologies Assesment
I'm happy to share my experience. Overall, the interview process was quite straightforward and I'm thrilled to say that I was selected for FTE role! # Part 1 — General Aptitude This section included: • Time & Work • Basic arithmetic • Ratio & Proportion • Other standard aptitude topics The questions were easy but time-consuming, so speed and pre-practice matter a lot. ⸻ # Part 2 — Numerical Aptitude This round was more focused on numerical reasoning, including: • AP (Arithmetic Progression) • GP (Geometric Progression) • Sum of n terms • Number-based logical calculations ### Difficulty was moderate, but again the time limit makes it challenging. Practicing these topics beforehand helps a lot. ⸻ # Part 3 — English (Vocabulary + Grammar) This section was: • The toughest among all three • Focused on advanced vocabulary, grammar correction, sentence improvement, and comprehension Good command of English is helpful, and practicing vocabulary + grammar exercises is recommended. ⸻ # Important Note: Time Management All three rounds had a strict time limit, so: • Practicing general aptitude regularly is essential • Platforms like Indiabix can help improve speed and accuracy
I'm happy to share my experience. Overall, the interview process was quite straightforward and I'm thrilled to say that I was selected for FTE role! # Part 1 — General Aptitude This section included: • Time & Work • Basic arithmetic • Ratio & Proportion • Other standard aptitude topics The questions were easy but time-consuming, so speed and pre-practice matter a lot. ⸻ # Part 2 — Numerical Aptitude This round was more focused on numerical reasoning, including: • AP (Arithmetic Progression) • GP (Geometric Progression) • Sum of n terms • Number-based logical calculations ### Difficulty was moderate, but again the time limit makes it challenging. Practicing these topics beforehand helps a lot. ⸻ # Part 3 — English (Vocabulary + Grammar) This section was: • The toughest among all three • Focused on advanced vocabulary, grammar correction, sentence improvement, and comprehension Good command of English is helpful, and practicing vocabulary + grammar exercises is recommended. ⸻ # Important Note: Time Management All three rounds had a strict time limit, so: • Practicing general aptitude regularly is essential • Platforms like Indiabix can help improve speed and accuracy
Projects Shared
Md Inzamamul Haque
Developed a Resume Analyzer using Python, NLP, and MySQL to automate resume parsing, skill analysis, and insights.
AI-Powered Resume Analyzer • Built a full-stack resume analysis system using Python, Streamlit, and MySQL to streamline and automate the hiring process. • Implemented NLP techniques using NLTK and SpaCy for resume text extraction, named entity recognition (NER), and structured parsing of skills, experience, and education. • Designed an interactive recruiter dashboard with Plotly visualizations to analyze candidate skill distributions, experience levels, and talent pools. • Developed a secure relational database using MySQL and PyMySQL to store resumes, extracted entities, and recruiter insights efficiently. • Integrated a recommendation engine to suggest skill improvements and career upskilling paths based on resume gaps and industry trends.
Developed a Resume Analyzer using Python, NLP, and MySQL to automate resume parsing, skill analysis, and insights.
AI-Powered Resume Analyzer • Built a full-stack resume analysis system using Python, Streamlit, and MySQL to streamline and automate the hiring process. • Implemented NLP techniques using NLTK and SpaCy for resume text extraction, named entity recognition (NER), and structured parsing of skills, experience, and education. • Designed an interactive recruiter dashboard with Plotly visualizations to analyze candidate skill distributions, experience levels, and talent pools. • Developed a secure relational database using MySQL and PyMySQL to store resumes, extracted entities, and recruiter insights efficiently. • Integrated a recommendation engine to suggest skill improvements and career upskilling paths based on resume gaps and industry trends.