Sounak Banerjee — Operations Associate

As a Data Analyst and Sales Strategist, I bring over six years of experience blending analytical expertise with business acumen. My journey began with a strong foundation in economics, earning a Master’s degree, and evolved into a passion for transforming raw data into actionable insights that drive business growth. I specialize in SQL, Python, and advanced data analytics, with hands-on experience in predictive modeling, sales forecasting, and data visualization using tools like Matplotlib and Seaborn. My work includes real-world projects such as sales prediction for Target stores, online retail sales analysis, and solving industry-focused SQL challenges, showcasing my ability to address complex business problems with data-driven solutions. Some highlights of my professional journey: Successfully built a predictive sales model achieving 70% accuracy, leveraging key variables like temperature, CPI, and unemployment. Earned a 4-star badge on HackerRank for SQL, demonstrating advanced proficiency in query optimization and data extraction. Automated repetitive tasks using Python, saving 20% of reporting time and improving efficiency. Delivered strategic insights that contributed to a 15% annual revenue increase in my current role. I am driven by a curiosity for uncovering patterns, simplifying complex datasets, and helping organizations make informed, evidence-based decisions. My goal is to leverage data science and analytics to support innovative strategies and create measurable business impact. When I’m not working with data, you’ll find me exploring emerging technologies in machine learning, expanding my skill set, and solving real-world case studies like the 8-Week SQL Challenge by Data with Danny. Feel free to connect with me to discuss data analytics, predictive modeling, or opportunities where I can help translate data into meaningful business outcomes.

Stackforce AI infers this person is a Data Analyst with expertise in predictive modeling and business analytics.

Location: Noida, Uttar Pradesh, India

Experience: 8 yrs 9 mos