The Numbers Behind Every Career We've Built

Manish Kumar Rajak secured a Data Analyst role at Phoenix Assurance with Rylin Learning's support. He gained strong skills in Excel, SQL, Python, and data visualization through hands-on projects. The program also provided resume building, mock interviews, and placement assistance. With practical training and guidance, Manish became industry ready and successfully achieved his career goal in data analytics.

Geeta secured a role in Data Science & AI at Blinkit with the support of Rylin Learning. Through structured training, she developed strong skills in Python, SQL, machine learning, and data visualization. Hands-on projects enhanced her practical knowledge, while resume building, mock interviews, and placement assistance prepared her for real-world opportunities, helping her successfully achieve her career goal.

Kush transitioned into Business Analytics at Amazon with the help of Rylin Learning's industry-oriented program. He strengthened his analytical thinking and technical toolkit through hands-on projects. With expert guidance and mock interviews, he was able to confidently crack the hiring process.

Amzad began his journey with Rylin Learning and transformed his skills into a Data Analytics career at Infosys. Through practical assignments and guided learning, he gained clarity in solving real-world problems. Continuous support in resume building and interview readiness played a key role in helping him secure the position.

Dhruv landed a Data Analytics role at Paytm after completing his training at Rylin Learning. The program helped him master data handling, querying, and visualization while working on real business datasets. With personalized mentorship and focused interview preparation, he built confidence and successfully converted opportunities into a full-time analytics role.

Arpita's journey to JP Morgan as a Data Analyst was shaped by Rylin Learning's focused training approach. She developed strong analytical and visualization skills while building a solid project portfolio. With continuous guidance and interview preparation, she confidently secured her role.

Shubham is a Data Analyst who turns raw data into actionable insights for better decision-making, using tools like SQL, Python, Excel, and Power BI. He also mentors aspiring analysts, helping them transition into data careers with guidance on skills, portfolios, and interviews — drawing from his own experience of successfully switching into the field.

Ritik Kumar is a Data Analyst at Tata Consultancy Services (TCS), where he analyzes data to support business decisions. His role involves data cleaning, visualization, and reporting using tools like Excel, SQL, and Python — helping organizations identify trends, improve performance, and drive strategic insights.

Hemlata Verma secured a role in Data Science and AI at TCS with the support of Rylin Learning. Through hands-on projects and practical training, she developed strong skills in Python, machine learning, and data analysis. With expert mentorship, resume guidance, and interview preparation, she gained confidence and successfully transitioned into a career in data science and AI.

Deepak Meena is a Data Scientist focused on transforming data into actionable insights. Experienced in machine learning, data analysis, and predictive modeling to support strategic decisions. He has a strong interest in identifying patterns, improving model performance, and solving business problems using data-driven approaches. Tools: Python · SQL · Machine Learning.

Financial Analyst specializing in transforming data into actionable insights for strategic decisions. Skilled in financial modeling, forecasting, and performance analysis, with a strong focus on trend identification, cost optimization, and improving financial efficiency. Proficient in Excel, Power BI, and SQL — leveraging data-driven approaches to enhance business performance and support growth.

Vishnu secured a Data Analytics role at Infosys with the support of Rylin Learning. Through hands-on training and real-world projects, he strengthened his analytical thinking and technical skills. With guidance in resume building, mentorship, and structured interview preparation, he gained confidence, performed well in hiring rounds, and successfully started his career in the data analytics field.