Software Engineer with 2+ years in Data Science, AI, and Fullstack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a dedicated B.Tech student in Data Science with 2.4 years of combined experience in software development and data analysis, I excel at building responsive interfaces, optimizing backend systems, and deriving actionable insights from complex datasets. My expertise spans AI/ML, NLP, web development, and data visualization, demonstrated through successful projects in resume analysis, depression detection, and sales forecasting. I am passionate about leveraging technology to solve real-world problems and enhance user experiences.
NSHM Knowledge Campus
B.Tech · Data Science
August 1, 2021 – Present
Prutor.ai (IITK)
Software Developer
April 1, 2024 – May 1, 2026
Noida, Uttar Pradesh, India
Yoshops.com
Data Analyst Intern
July 1, 2023 – September 1, 2023
Chennai, Tamil Nadu, India
ResumeIQ
April 1, 2026 – Present
Developed an AI-powered resume analyzer using LangChain, improving resume-to-job matching accuracy by 80%. Leveraged LLM-based analysis to generate context-aware suggestions, enhancing ATS compatibility by 50%. Processed multiple resume formats for real-time evaluation. Automated resume parsing and skill extraction, reducing manual screening effort by 60%. Integrated job description comparison, increasing candidate-job alignment insights by 45%. Designed a scalable analysis pipeline, improving response efficiency by 40%. Implemented dynamic feedback generation, boosting resume optimization effectiveness by 35%.
Kalimata Store Sales Dashboard
January 1, 2025 – April 1, 2025
Analyzed six months of sales data using Power BI, identifying key trends in revenue, profit, customer behavior, and regional performance to support data-driven business decisions.
Suicide Depression Analysis
July 1, 2024 – November 1, 2024
Engineered NLP model, improving suicide content classification accuracy by 85%. Leveraged GloVe embeddings, increasing text analysis precision by 40%. Processed 1 million+ posts, identifying mental health trends. Automated data preprocessing, reducing manual effort by 50%. Deployed model into production, reducing response time by 30%. Enhanced feature selection, increasing predictive accuracy by 20%. Designed scalable data pipeline, improving processing efficiency by 60%. Integrated sentiment analysis, increasing detection capabilities by 35%. Improved model parameters, achieving 10% higher recall.
Received the Best Project Award during my B.Tech.
Unknown
June 1, 2026 – Present
Ranked among the top 2 in the entire class and received a scholarship.
School
June 1, 2026 – Present
Successfully participated in and passed the National Level Quiz at BIET
BIET
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered resume analysis to mental health trend identification and sales dashboards, indicates a broad interest in applying technical skills to various domains. Their involvement in both personal and freelance projects, alongside academic and professional roles, suggests initiative and a continuous learning mindset. The target role of 'Software Engineer' aligns well with their demonstrated skills in both front-end development and AI/ML engineering, showing adaptability and a versatile skill set. The candidate's achievements, such as receiving a 'Best Project Award' and being a 'School Topper', suggest a drive for excellence and a competitive spirit, which can be a good cultural fit for high-performing teams.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving and process improvement, as evidenced by efforts in bug resolution, performance tuning, and automation. Their project descriptions highlight a focus on efficiency and impact (e.g., 'reducing manual screening effort by 60%', 'improving response efficiency by 40%'). Collaboration is mentioned in both work experiences, suggesting an ability to work in team settings. The candidate's academic achievements also indicate a strong work ethic and drive.