Passionate Data Analytics and Cloud Enthusiast
🚀Welcome to my portfolio! I'm Darshan Sarkale, a skilled data and business analyst passionate about transforming complex data into actionable insights that drive business success. Holding a Master’s degree in Computer Science from Lakehead University, I bring a strong foundation in data analytics, machine learning, and business intelligence.
đź’ĽWith hands-on experience in data-driven roles, I specialize in optimizing data pipelines, crafting dynamic dashboards, and conducting deep-dive analysis. My work includes boosting ROI through strategic ad targeting, automating processes for greater accuracy, and building BI dashboards that deliver real-time, actionable insights to stakeholders.
📊Proficient in tools like Python, SQL, Power BI, and Tableau, I excel in data visualization, reporting, and ETL processes. From data extraction to stakeholder reporting, my expertise lies in managing data ecosystems and collaborating across teams to drive impactful business decisions.
📚Lifelong Learner: I’m committed to staying ahead in the fast-evolving data landscape through certifications and continuous skill development in analytics and machine learning.
🤝Let’s Connect: I’m enthusiastic about new opportunities, collaborations, and contributing meaningfully to an organization. Feel free to reach out at darshansarkale098@gmail.com. Let's explore how we can use data to drive innovation together!
Here is my education, work experience, & some skills I've got.
Jan 2025 - Present
Jan 2024 - Aug 2024
Jun 2023 - Nov 2023
Jul 2019 - Dec 2019
March 2018
Sep 2021- May 2023
Aug 2016 - Sep 2020
My Complete Portfolio Projects List That I Have Worked On.
I developed a comprehensive Power BI dashboard for bank customer churn analysis, featuring KPIs, interactive elements, and data visualizations, enhancing decision-making and retention strategies.
Optimized business intelligence capabilities by constructing a dynamic Power BI dashboard showcasing essential USA e-commerce metrics, including Profit, Margin, Sales, and Quantity. Empowered stakeholders to make data-informed decisions resulting in a 10% improvement in profit margins.
In this GitHub file, you can find my analysis of open-source airline data from Kaggle. I leveraged Python libraries like Pandas, Seaborn, and Matplotlib to analyze the data, identifying crucial trends and patterns. This analysis empowers data-driven decision-making for optimizing revenue strategies.
Developed a hybrid unsupervised and supervised model for content classification detection for a final year master's project, achieving benchmark-beating accuracy, and also created a novel CNN model surpassing existing research. Conducted an extended study on the cyberbullying dataset and obtained good results, while gaining hands-on experience with the entire development pipeline, including debugging and troubleshooting. Crafted a comprehensive 5-page IEEE-formatted report.