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Data Analyst with 1+ years in Data Modeling & AI/ML
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Marmik Vyas is an aspiring Data Analyst with 1.0 years of experience, specializing in data collection, cleaning, and analysis to identify performance trends and surface key KPIs. Proficient in building predictive models, designing SQL queries, and developing automated dashboards. Possesses a strong foundation in statistics, machine learning, and cloud computing, with practical experience in AI-powered data extraction and churn prediction models.
SAL ENGINEERING & TECHNICAL INSTITUTE, GTU
Bachelor of Engineering · Computer Science
June 1, 2023 – May 31, 2026
GRUHSCAPEWORKS
Data Analyst Apprentice
January 1, 2025 – January 31, 2026
Surat, Gujarat, India
QUOTESYNC - AI-POWERED DATA EXTRACTION & ANALYTICS TOOL
June 17, 2026 – Present
Designed end-to-end data pipeline: ingested vendor quote documents (PDF/email), extracted and structured data using GPT-4, and stored in a normalized relational PostgreSQL database. Built predictive scoring and statistical ranking models to generate multi-vendor comparison reports across multiple analytical dimensions. Implemented data validation and quality checks at ingestion layer; developed SQL aggregation logic for trend analysis and historical comparison.
CUSTOMER CHURN PREDICTION ML CLASSIFICATION MODEL
June 17, 2026 – Present
Built end-to-end churn prediction pipeline: data ingestion, feature engineering, model training using XGBoost and logistic regression, and evaluation across precision/recall/F1 metrics. Performed exploratory data analysis (EDA) and statistical hypothesis testing to identify key churn drivers; engineered 15+ features from raw customer activity data. Delivered model performance report and visualisations (confusion matrix, ROC-AUC, feature importance) to stakeholders; model achieved 87% accuracy on holdout set.
AGENCYOS - SAAS PLATFORM WITH DATA-DRIVEN WORKFLOWS
June 17, 2026 – Present
Designed multi-tenant PostgreSQL data models with relational schema, RLS policies, foreign key constraints, and indexed queries for analytical performance. Built analytics layer tracking client activity, proposal conversion rates, and workflow completion metrics — surfaced via dashboard visualisations. Integrated AI-generated insights combining structured database data with GPT-4 for contextual analysis and business recommendations.
SALES & DEMAND FORECASTING DASHBOARD
June 17, 2026 – Present
Developed time-series forecasting models using Facebook Prophet to predict weekly sales demand; integrated historical seasonality and trend decomposition for improved accuracy. Built SQL data models and ETL pipeline to aggregate sales, inventory, and order data from multiple sources into a clean analytical schema in PostgreSQL. Designed interactive Power BI dashboard surfacing demand forecasts, variance analysis, and inventory risk flags — used by operations team for weekly planning decisions.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI-powered data extraction to churn prediction and sales forecasting, demonstrates a broad interest and adaptability in data-related challenges. The use of various technologies and tools (PostgreSQL, FastAPI, Python ML libraries, Power BI, Grafana, AI APIs) indicates a willingness to learn and apply new skills. The target role of Data Analyst aligns well with the candidate's demonstrated skills and project experience, particularly in data modeling, statistical analysis, and visualization.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight collaboration with engineering and product teams, suggesting good teamwork and communication skills. The ability to document methodologies and findings indicates attention to detail and adherence to best practices. Automation efforts (Python/Bash scripting) show a proactive approach to efficiency.