Pradnya Gangurde

Data Scientist

Maharashtra, India11 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in predictive analytics and data-driven solutions.
Proven track record of improving operational efficiency.
Strong technical proficiency in Python and SQL.

Stackforce AI infers this person is a Data Scientist with expertise in Renewable Energy and Business Analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningData VisualizationBusiness AnalysisData AnalyticsQuality AssuranceElectronic Design

Other Skills

Advanced Microsoft ExcelAnalytical SkillsBusiness AnalyticsChatGPTCommunicationDeploy Web Apps with FlaskExcelGenerative AI ModelsGoogle Data StudioMicrosoft WordNegotiationPandasPower BIProject ManagementPrompt Engineering

About

Hello! I am a Visionary and Impact-oriented Data Scientist with over 3 years of experience leveraging Artificial Intelligence(AI), Machine Learning(ML), and Data Analytics to deliver impactful business solutions. Expertise in Python, SQL and data engineering pipelines, with expertise in developing predictive analytics, feature engineering, and hyperparameter optimization. Experienced in creating robust data architectures, implementing dimensionality reduction techniques, and crafting insightful visualizations using Tableau and Power BI. Prominent for a strategic and analytical approach, seamlessly integrating technical proficiency with domain knowledge to deliver transformative data-driven solutions.

Experience

11 yrs 8 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 yrs 5 mos

Current Experience

Solar secure solutions

Data Scientist

Jan 2023 – Present · 3 yrs 5 mos · Bengaluru, Karnataka, India · Remote

Developed predictive models using Python and Scikit-learn to forecast solar energy production, improving accuracy by 15% and optimizing resource allocation.
Built interactive dashboards with Tableau and Power BI for real-time monitoring of solar farm performance and energy trends, enabling data-driven decisions.
Conducted data preprocessing and analysis using SQL and Pandas, ensuring high-quality datasets for model training and operational insights.

PythonScikit-learnTableauPower BISQLPandas+2

Jupiter events and entertainment

Business Analyst

Jan 2016 – Dec 2022 · 6 yrs 11 mos

Analyzed business processes and KPIs, providing actionable insights that improved operational efficiency by 20%.
Conducted market research and data analysis using SQL and Power BI, delivering comprehensive reports to support strategic decision-making.
Organized and managed business and promotional events, leveraging strong project management, negotiation, and marketing skills to achieve successful outcomes.
Built and monitored dashboards to track key metrics, enabling real-time performance monitoring and informed decision-making for stakeholders.

SQLPower BIProject ManagementNegotiationBusiness AnalyticsBusiness Analysis+1

Nashik insulations pvt. ltd. - india

Quality Assurance Engineer

Jul 2015 – Dec 2015 · 5 mos

Assessed and documented software defects, compiling findings with suggested resolutions to support development teams in improving product quality.
Designed and optimized test cases to maximize the efficiency and success rate of manual and automated testing processes, ensuring seamless product functionality.
Monitored and maintained quality standards across various manufactured products, identifying discrepancies and recommending corrective actions.
Leveraged data analysis tools like SQL and Excel to validate test results, identify trends, and provide actionable insights for continuous process improvement.

SQLExcelQuality Assurance

Victory metal finishers- electronics sector

Electronic Design Engineer

Jul 2014 – Jun 2015 · 11 mos

Conducted rigorous testing of high-quality and high-reliability capacitors and electronic switching products, analyzing production data to ensure adherence to performance and reliability standards, resulting in a 15% reduction in defect rates.
Developed and maintained detailed documentation, including test results, system design specifications, and status reports, improving team collaboration and ensuring compliance with project timelines and quality benchmarks.
Leveraged data analytics tools like Excel and SQL to monitor production trends and identify inefficiencies, enabling a 10% increase in manufacturing throughput by optimizing production workflows.

SQLExcelElectronic Design