Machine Learning Data Scientist

Devendra Pitaliya Data Scientist

+91-950******* Linkedin *************@*****.***

SKILLS

• Python, Advanced Excel, SQL, Tableau, Data Analysis, Frontend Development, HTML, CSS, DBMS, Backend Development, Machine Learning, Business Analysis, Java, Javascript, Scikit, Power BI, NLP, Statistical Analysis, Version Control, API's, Software Devlopment, Testing, Problem Solving, Product Management, AWS, Pyspark, EC2, S3, LLM

EXPERIENCE

Solution Architech Mar 2024 - Present

ThoughtSpark

Led onsite initiatives in the USA with Tada’s healthcare clients, collaborating closely with cross-functional customer teams to design, customize, and implement analytics solutions that directly influenced key business decisions. Analyzed extensive healthcare datasets, uncovering trends that enhanced decision-making processes by 30% and improved patient care outcomes. Developed predictive machine learning models, boosting resource allocation efficiency by 25% in healthcare environments. Developed a coverage report for Original Equipment Manufacturer and healthcare clients, providing end-to-end visibility and conducting weekly cadences to assess and mitigate risks.

Created a supplier competency matrix, identifying high-risk suppliers and implementing strategies that reduced risks by 40%. Presented data analysis findings to stakeholders, driving data-driven decisions that increased operational efficiency across multiple departments. Engineered an intelligent platform to assess supplier agility, improving shipment performance by 20% during demand fluctuations. Designed and launched a Supply Plan Application, optimizing shipment allocation and reducing line downtimes across 10+ facilities. Utilized SQL for data extraction and analysis, leveraging visualization tools to accelerate decision-making processes by 15% for stakeholders. Project Engineer Mar 2022 - Feb 2024

Wipro Limited

Specialized in SAP BASIS for production systems, resolving server-side issues with SQL and ABAP to enhance system reliability. Delivered daily reports by collecting, cleaning, and analyzing data using Excel and Tableau, improving decision-making processes. Achieved a 98% reduction in system vulnerabilities through proactive quarterly maintenance, including critical upgrades and patches. Maintained 99.9% system uptime by executing efficient system start/stop procedures, ensuring uninterrupted service delivery. Reduced critical incidents by 95% through consistent round-the-clock monitoring and exceptional system oversight. Identified and tracked key performance indicators (KPIs), providing actionable insights to drive performance improvements. Attained a 92% customer satisfaction rate by efficiently managing and closing tickets, boosting job efficiency by 90% through effective monitoring. Freelancer Jul 2020 - Mar 2022

Freelancing

Delivered over 10 full-stack projects for clients across various industries, including e-commerce, healthcare, and finance. Boosted organic search rankings for client websites, increasing traffic by an average of 30% through targeted SEO strategies. Developed graphic design projects that enhanced client branding and improved user engagement. Ensured 100% project completion on time and within budget, maintaining high levels of client satisfaction and fostering repeat business. PROJECTS

Loan Approval Prediction

Initiated the Loan Approval Prediction project, leveraging a machine learning framework on a dataset of over 10,000 rows to enhance predictive accuracy by 20%.

Spearheaded automation initiatives that reduced manual intervention by 30%, streamlining loan processing and improving turnaround time. Developed a predictive model for loan applications, increasing approval and rejection efficiency by 25% to expedite decision-making processes. Analyzed diverse applicant attributes and historical loan data to improve decision-making accuracy and achieve a 15% reduction in default rates. Championed an optimization initiative for the loan approval process, boosting operational efficiency by 40% across multiple financial institutions. Fraud Detection and Risk Assessment System

Developed a robust fraud detection system utilizing machine learning and large language models, successfully identifying fraudulent transactions and mitigating financial risks.

Trained a Random Forest model with advanced feature engineering, achieving a remarkable AUC-ROC score of 94.33%, enhancing prediction accuracy. Integrated Hugging Face Transformers for unstructured data analysis, facilitating sentiment analysis that improved decision-making processes by 30%. Deployed a real-time fraud detection model via a REST API using Flask, delivering instant probability scores and risk assessments for transactions. Created interactive dashboards to monitor feature importance and model performance, leading to a 25% increase in proactive fraud prevention measures. Disease Prediction System with Appointment Booking Developed a comprehensive platform that integrates multiple machine learning models for diverse functionalities. Aimed to predict diseases by quantifying the likelihood of occurrence through percentage-based impact assessment. Integrated an efficient appointment booking system to streamline user experience and facilitate hassle-free scheduling. Created and seamlessly integrated over six distinct machine learning models into the platform. Achieved disease prediction accuracy consistently surpassing 90%, highlighting the robustness and efficacy of the implemented models. Executed the entire project independently, showcasing adeptness in full-stack development (HTML, CSS, JS, SQL) utilizing Python technology. Sales Data Analysis in Tableau

Analyzed sales data using Tableau to extract valuable insights that drive informed business decisions and strategies. Collaborated with a dataset encompassing sales records, customer profiles, product specifications, and transaction history. Employed Tableau to visualize and interpret sales data, aiming to uncover trends and patterns that guide business actions. Investigated the provided dataset to identify key performance indicators (KPIs) and critical business metrics. Developed interactive dashboards and reports within Tableau to present data-driven findings and support strategic planning. Utilized data exploration techniques to extract meaningful information and generate actionable recommendations for the business. Crafted data-driven narratives using Tableau's capabilities, offering a compelling story of the sales data's implications. Engaged with stakeholders to ensure that the insights generated align with business goals and objectives. Continuously monitored and updated Tableau dashboards to reflect the latest sales data, improving accessibility to critical information for decision-makers by 30%.

ACHIEVEMENTS

On Site - Led USA onsite engagements with Tada’s healthcare clients, driving end-to-end analytics solution design and implementation in collaboration with Customer leadership.

Tada Now - Star Performer Award for outstanding execution and measurable progress on a mission-critical project. Wipro Award: Recognized as the top performer for skillfully coordinating and executing quarterly activities. IBM – Data Analytics Using Python

Coursera: Google Data Analytics Certificate

EDUCATION

Scaler 2024

Specialized in Data Science & Machine Learning

Pune University 2022

BE/B.Tech/BS in Computer Science

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