Darshan
Passionate Data Analytics and Cloud Enthusiast
About Me
🚀Welcome to my portfolio! I'm Darshan Sarkale, a driven data analyst with a passion for leveraging technology to tackle real-world challenges and drive business solutions. With a Master's degree in Computer Science from Lakehead University, I've honed my skills in data analytics, machine learning, data mining, and artificial intelligence.
💼Over the past two years, I've immersed myself in the world of data analytics, blending my educational background with hands-on experience. From developing web and mobile applications to deploying chatbots and harnessing AWS cloud services, I've navigated the data landscape with versatility and precision.
📊My expertise extends to manipulating datasets and crafting insightful visualizations using Python, SQL, Power BI, and Tableau. I thrive in managing data ecosystems, from extraction to reporting, and excel in collaborating across diverse teams to drive impactful results.
📚Continuous Learning: Committed to staying ahead in the dynamic tech landscape, I actively pursue opportunities for growth through courses, workshops, and industry conferences.
🤝Let's Connect: I'm always open to new opportunities, collaborations, and industry insights. I'm eager to apply my skills and expertise to drive innovation and contribute meaningfully to an organization. Let's connect and explore how we can bring data to life together! Feel free to reach out at darshansarkale098@gmail.com.
Resume
Here is my education, work experience, & some skills I've got.
Experience
Vosyn
AI Software Developer
Jan 2024 - Mar 2024
- Spearheaded the development of advanced machine learning models, elevating voice synthesis technology to industry-leading standards.
- Led AWS pipeline optimization efforts, achieving 27% faster deployment and an 18% improvement in Text-to-Speech (TTS) quality.
- Championed the design and refinement of multiple Text-to-Speech (TTS) models, enhancing voice generation capabilities.
- Conducted meticulous cost analyses on Azure Cloud services, optimizing resources for cost-effectiveness without compromising AI excellence.
- Utilized NLP and ML techniques to conduct comprehensive data analysis, delivering actionable insights within a dynamic startup environment.
Lakehead University
Research Assistant
Jun 2023 - Nov 2023
- Spearheaded innovative research under Prof. Akilan, utilizing a CNN model enriched by an attention mechanism. Addressed complex challenges related to fake news and cyberbullying, resulting in an impressive 35% maximum performance increment.
- Presented a paper to AIBThings-2023, The IEEE International Conference on AI, Blockchain, and Internet of Things, which boasts a record-breaking submission count of over 500 research papers. (Paper Link)
- Developed advanced data analysis techniques, resulting in a significant 25% decrease in false positives within NLP applications.
- Cultivated strategic alliances with multiple universities to enrich NLP models, leading to a substantial 1% - 35% enhancement in accuracy, acknowledged and documented in an IEEE conference paper.
- Spearheaded the implementation of innovative research methodologies, contributing to significant advancements in data analysis.
Softvan Pvt Ltd
Python Developer Intern
Jul 2019 - Dec 2019
- Coordinated the development of Android and web applications utilizing Flask and Python, captivating a user base exceeding 50+ individuals, and fostering engagement and user retention.
- Spearheaded the seamless integration of a chatbot using the Google Dialogflow API, significantly enhancing user engagement and communication within applications.
- Managed a high-performing team of 3, consistently surpassing project deadlines and expectations by implementing Agile methodologies, fostering collaboration, and refining development processes for heightened efficiency and project success.
- Integrated Google Dialogflow API into chatbots, optimizing customer service efficiency with AWS EC2. Resulting in a remarkable 25% decrease in customer wait times and a substantial 20% boost in customer satisfaction metrics.
- Enhanced proficiency in front-end web technologies like HTML, CSS, and JavaScript, enabling the crafting of responsive and user-friendly UIs, and sharpened abilities in time management, debugging, troubleshooting, and adhering to the Software Development Life Cycle (SDLC).
Silverwings Technologies Pvt Ltd
Web Administrator Intern
March 2018
- Delved into a wide array of web technologies, gaining profound insights into website creation, hosting, scaling, and maintenance processes. Proficiently utilized HTML, CSS, and JavaScript to enhance web development skills.
- Applied newfound web technology expertise to develop an impactful NGO website as part of my undergraduate web technology course. This experience highlighted my abilities in creating, hosting, and maintaining websites.
- Acquired valuable hands-on experience during the internship, solidifying my understanding of web development. Strengthened skills in hosting and website maintenance, setting a strong foundation for future projects.
- Leveraged the knowledge and skills gained during the internship to contribute effectively to web development projects. The experience enriched my understanding of the intricate details involved in creating and managing websites.
Education
Lakehead University
Master of Sciece in Computer Science
Sep 2021- May 2023
- I hold a Master of Science in Computer Science from Lakehead University, where I had the privilege of pursuing a comprehensive curriculum that included advanced courses in Machine Learning, Natural Language Processing (NLP), and Artificial Intelligence (AI). My dedication and commitment to my studies were reflected in my academic performance, culminating in an impressive achievement of an 87.33% score during my master's program.
- During my time at Lakehead University, I embarked on an ambitious 8-month research project under the expert guidance of Professor Akilan. Our collaborative efforts led to a significant research breakthrough, resulting in the publication of a paper presented at the prestigious IEEE conference held in the United States on September 17, 2023. This accomplishment represents a significant milestone in my academic journey and highlights my dedication to advancing the field of computer science.
Gujarat Technological University
Bachelor of Engineering in Information Technology
Aug 2016 - Sep 2020
- I hold a Bachelor of Engineering degree in Information Technology from Gandhinagar Institute of Technology, affiliated with Gujarat Technological University. My dedication to my academic pursuits led me to achieve a remarkable CGPA of 9.44 out of 10 during my undergraduate studies. This educational journey provided me with a strong foundation in key subjects such as DBMS, Data Structures, Python, Operating Systems, and Artificial Intelligence.
- I actively pursued hands-on experience through internships, where I gained practical insights into the IT industry. Additionally, I participated in hackathons, and my team emerged victorious at the zonal level, demonstrating my problem-solving and innovative thinking skills.
Skills & Expertise
Personal Projects
My Complete Portfolio Projects List That I Have Worked On.
Customer Churn Analysis of Bank
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.
DynamicSales Insights: E-commerce Performance Dashboard
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.
Airlines Data Analysis
In this GitHub file, you can find my analysis of open source Airlines 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.
NLP-driven content classification towards fake news and bully detection
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 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.