Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Python, SQL & ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Operations Analyst with expertise in Python, SQL, Power BI, and Machine Learning. Skilled in data transformation, dashboard development, and AI-driven solutions with proven accuracy.
Prince Shri Venketeshwara Padmavathy Engineering College
Bachelor of Engineering · CSE
August 1, 2021 – June 30, 2025
Vivekananda Vidyalaya Matric Hr. sec school
HSC
June 1, 2019 – May 31, 2021
Sales Performance Dashboard using Power BI
June 1, 2026 – Present
Developed a Sales Performance Dashboard in Power BI to track key sales KPIs. Transformed and cleaned data using Power Query for accurate reporting. Created DAX measures for Total Sales, Profit, Margin, and Sales Achievement %. Designed interactive visuals and optimized data models for better performance. Enabled data exploration using slicers and drill-through features.
Mind Guard AI – Automated Mental Well-being Classifier
June 1, 2026 – Present
Developed a deep learning model for binary sentiment classification using Python and TensorFlow/Keras. Implemented an LSTM neural network to classify Twitter data into positive and negative sentiments. Preprocessed text data using NLP techniques such as tokenization, stop-word removal, stemming, and padding. Utilized a Kaggle dataset and filtered out neutral tweets to improve classification confidence. Achieved 87% accuracy with strong precision and recall performance. Handled imbalanced datasets and performed hyperparameter tuning to optimize model results. Gained hands-on experience in building NLP pipelines and analyzing the impact of preprocessing on model performance.
Mental Health Indicator – IIT(BHU) Varanasi
June 1, 2026 – Present
Developed a machine learning model and conversational chatbot to classify mental health indicators and provide personalized support to users in real time. Achieved 92% accuracy in classifying mental health patterns using BERT-based NLP modeling. Integrated the model into a Flask-based chatbot interface, enabling interactive and empathetic user engagement. Deployed the solution using Docker, ensuring scalability, portability, and cloud readiness. Optimized model performance with OpenVINO, enabling efficient inference on resource-constrained hardware. Focused on user data privacy and ensured compliance with mental health support handling guidelines. Impact: Enabled users to receive timely, personalized guidance while improving self-awareness and engagement in mental well-being.
Employee Performance and HR Analytics Dashboard (Power BI)
June 1, 2026 – Present
Developed an interactive HR Analytics Dashboard using Microsoft Power BI to track workforce metrics. Extracted, cleaned, and transformed data using Power Query Editor for accurate analysis. Created DAX measures for KPIs such as headcount, attrition rate, and departmental performance. Designed interactive visuals including bar charts, pie charts, trend lines, and KPI cards. Analyzed workforce distribution and attrition trends through dynamic reporting. Enabled drill-through and real-time insights for detailed department-level analysis. Delivered data-driven insights to support HR decision-making and improve organizational efficiency.
Python Full Stack Development
Tata Strive
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards data analysis and AI/ML, aligning well with a Data Analyst role that may involve advanced analytics. The diversity of projects, from sales and HR dashboards to mental well-being classifiers, shows a broad interest in applying data science to different domains. Participation in an AI Hackathon as a finalist further indicates a proactive and competitive spirit. The personal projects suggest self-motivation and a drive to learn and apply new technologies. The academic background in CSE provides a solid technical foundation.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to deliver data-driven insights, support decision-making, and focus on user data privacy. These indicate a problem-solving mindset and attention to detail. The academic project involving a chatbot suggests an interest in user engagement and real-time solutions. However, without direct work experience, operational fit in a team environment and handling real-world project constraints are yet to be fully assessed.