Sajal Vijayvargiya
@sajalvijayvargiya
Aspiring Data Analyst passionate about data-driven insights and solutions.
What I'm looking for
I am an aspiring Data Analyst and Data Scientist with a robust foundation in Python, data analysis, and machine learning. My academic journey at Jaypee University of Engineering and Technology has equipped me with a cumulative CGPA of 8.22, reflecting my commitment to excellence in Computer Science and Engineering. I am passionate about solving real-world business challenges through data-driven insights and continuous learning.
Throughout my projects, I have demonstrated my skills in various domains, including Natural Language Processing and predictive modeling. For instance, I developed EmotiWave, an intelligent emotion classification system, and a diabetes prediction system called DiabetoCare. These projects not only honed my technical skills but also allowed me to create user-friendly applications that provide real-time insights. I am eager to leverage my skills in a dynamic environment where I can contribute to impactful data solutions.
Experience
Work history, roles, and key accomplishments
EmotiWave: Text Emotion Recognition
Jaypee University Of Engineering and Technology
Built an intelligent emotion classification system using both traditional Machine Learning (TF-IDF + Logistic Regression) and deep learning (LSTM) to detect emotions from user-input text. Developed a Flask-based web application with interactive user interface to allow real-time text emotion analysis and display dynamic model predictions.
DiabetoCare: Diabetes Prediction System
Jaypee University Of Engineering and Technology
Developed an advanced diabetes prediction system using Streamlit with interactive features and a clean UI for real-time user interaction. Integrated speech input for symptom entry, enabling voice-based patient interaction and accessibility.
Spotify Listening Trends Analysis
Jaypee University Of Engineering and Technology
Designed and developed an interactive Power BI dashboard to analyze Spotify listening habits, tracking 7,383 albums, 3,835 artists, and 12,724 tracks over time. Visualized trends with time-series charts, donut charts, and bar graphs, highlighting top albums and tracks.
Predictive Modeling of Mental Health
Jaypee University Of Engineering and Technology
Conducted in-depth EDA and data cleaning on real-world employee mental health survey data (gender normalization, outlier removal, missing value handling). Deployed the final model using a custom-built Streamlit dashboard for real-time prediction and interactive insights.
Education
Degrees, certifications, and relevant coursework
Jaypee University Of Engineering and Technology
Bachelor of Technology, Computer Science and Engineering
2023 -
Grade: 8.22 CGPA
Currently pursuing a Bachelor of Technology in Computer Science and Engineering. Maintaining a strong academic record with a cumulative CGPA of 8.22.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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