🌟Career Milestones🌟

VIAAN - PYTHON BI DEVELOPER

TRUTRIP - BI DEVELOPER INTERN

TRUTRIP.IN SR. DATA ANALYST

VRCS - DATA ANALYST

VRCS - DATA ANALYST INTERN

VIAAN LLC
Python BI Developer (Dec 2023 – Present)

• Designed interactive Power BI and Tableau dashboards for data visualization.

• Improved real-time analytics for executive decision-making, reducing reporting delays by 40%.

• Built Python-based ETL processes using Apache Airflow, Pandas, and SQLAlchemy.

• Reduced data processing time by 50%, ensuring seamless data flow.

• Connected PMS data with BI tools for real-time performance tracking.

• Increased operational efficiency in hospitality businesses by 30%.

• Migrated legacy data to Google BigQuery and AWS Redshift for faster query execution.

• Improved data retrieval speeds by 3x.

• Used Scikit-Learn and TensorFlow to forecast hospitality industry trends.

• Improved occupancy rate predictions by 20%, enhancing pricing strategies.

• Developed Python and SQL scripts to clean and standardize large datasets.

• Reduced data inconsistencies by 35%, improving analysis accuracy.

• Developed REST API connectors for integrating third-party travel and motel data.

• Enabled real-time updates for pricing and availability, reducing outdated data by 90%.

• Built machine learning models to optimize pricing strategies for internal franchise brands.

• Increased revenue per available room (RevPAR) by 10%.

• Set up scheduled Power BI and Tableau reports, reducing manual reporting efforts by 60%.

• Built customer segmentation models using K-Means Clustering.

• Enabled personalized guest offers, increasing guest satisfaction by 25%.

• Used PyCaret and Scikit-Learn to detect anomalies in guest behavior and booking patterns.

• Reduced energy costs by 12% through automated resource management.

• Used Natural Language Processing (NLP) to analyze guest reviews and feedback.

• Improved customer sentiment tracking, leading to 10% higher positive reviews.

• Created key performance metric (KPI) dashboards for hotel managers using SQL and Tableau.

• Improved operational efficiency and reduced check-in delays by 30%.

• Conducted SQL performance tuning for PMS databases, reducing query execution time by 30%.

• Enhanced data-driven decision-making for hotel management teams.

Trutrip LLC
BI Developer Intern (Mar 2023 – Aug 2023)

TRUTRIP.IN
Senior Data Analyst (Feb 2021 – Dec 2021)

• Developed machine learning models using Scikit-Learn and TensorFlow to predict flight pricing trends.

• Achieved a 10% revenue increase through optimized pricing strategies.

• Designed Power BI dashboards for corporate clients, providing real-time insights into travel expenditures.

• Enabled 30% faster decision-making with automated reporting.

• Reduced manual reconciliation errors by 30%.

• Automated ETL processes using Apache NiFi and Python (pandas, Airflow).

• Improved data refresh speed by 50%.

• Built AI-driven personalized travel suggestions using NLP and clustering algorithms.

• Increased customer engagement by 25%.

• Refactored MySQL and PostgreSQL queries, leading to 5x faster report generation.

• Developed real-time visa tracking dashboards in Tableau, reducing inquiry response time by 35%.

• Integrated travel risk analytics with real-time data feeds, enhancing traveler safety monitoring.

• Established REST API integrations for dynamic flight/hotel pricing updates, reducing outdated pricing by 90%.

• Implemented time-series forecasting models in Python to predict hotel demand fluctuations.

• Leveraged Google BigQuery to analyze customer travel behaviors and optimize corporate travel programs.

• Built fraud detection models using Python’s PyCaret and Scikit-learn, preventing $150K+ in fraudulent bookings.

• Used AI-powered chatbots to automate responses, reducing support queries by 30%.

• Shifted static Excel reports to interactive Tableau dashboards, improving user engagement by 40%.

• Standardized KPIs and data governance practices for internal reporting and business decisions.

VIJAYA RATNA EDUCATIONAL SOCIETY
Data Analyst (Jul 2019 – Jan 2021)

• Created interactive Power BI and Tableau dashboards to track student progress.

• Improved academic performance monitoring by 40%.

• Developed Python-based automation scripts to record attendance from biometric systems.

• Reduced manual entry errors by 30%.

• Used SQL and Python (Pandas, NumPy) to clean and structure student data.

• Improved data accuracy by 35%, reducing inconsistencies.

• Analyzed JEE & NEET mock test data to identify student strengths and weaknesses.

• Helped increase student scores by 20% through targeted preparation.

• Created custom tracking tools in Excel and Tableau for monitoring syllabus coverage.

• Developed SQL-based reporting systems for automatic report card generation.

• Used statistical analysis techniques to identify anomalies in student test scores.

• Connected data visualization tools with communication platforms for real-time updates.

VIJAYA RATNA EDUCATIONAL SOCIETY
Data Analyst Intern (Sep 2018 – Jun 2019)

Future Goals & Vision

✔ Build cutting-edge Python-driven AI & BI solutions for smarter decision-making.
✔ Enhance data automation & ETL pipelines to improve efficiency and scalability.
✔ Develop predictive analytics models using Python, ML, and deep learning.
✔ Optimize cloud-based data solutions with AWS, GCP, and big data technologies.
✔ Advance API integrations & real-time data processing for seamless analytics.
✔ Mentor and contribute to the Python developer community, fostering innovation.
✔ Make data-driven insights more accessible, scalable, and impactful with Python.

🚀 Driving the future of AI & analytics with Python—one script at a time!