Mohammad Sohail

Results-oriented Data Analyst at 1CM Inc. with prior experience at Shore 360 Inc., specializing in analyzing large datasets to enhance decision-making and efficiency. Proficient in data science, validated by a notable internship at Naresh Software Services Pvt and an endorsement from NASSCOM. Completed data analytics and visualization simulations at Accenture North America. Demonstrates strong communication and data visualization skills through a Power BI project for PwC Switzerland. Committed to delivering data-driven solutions and effectively addressing strategic challenges. Leveraging advanced statistical techniques and machine learning algorithms, I have devised impactful models that not only predict trends but also inform proactive strategies for business growth. My role at 1CM Inc. has allowed me to collaborate with cross-functional teams, translating complex data insights into actionable recommendations that optimize operational workflows.
Furthermore, my ongoing pursuit of professional development includes certifications in advanced analytics and data visualization tools, enabling me to stay abreast of industry trends and best practices. I am eager to continue driving impactful data initiatives, refining processes, and unlocking new opportunities for growth in dynamic environments.

• Certified Full Stack Data Science and AI Program, IT-ITES Sector Skills Council NASSCOM, 2022, https://fsp-assessment-certificates.s3-ap-southeast-1.amazonaws.com/MohammadSohail-92092064.pdf
• Power BI Job Simulation on Forage, PwC Switzerland, 04/2024, Completed a job simulation where I strengthened my PowerBI skills to better understand clients and their data visualization needs., https://forage-uploads-prod.s3.amazonaws.com/completioncertificates/PwC%20Switzerland/a87GpgE6tiku7q3guPwC%20SwitzerlandKwtmMQgzLfwf5gHRa1713339146679completioncertificate.pdf
• Data Analytics and Visualization Job Simulation on Forage, Accenture North America, Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture., https://forage-uploads-prod.s3.amazonaws.com/completioncertificates/Accenture%20North%20America/hzmoNKtzvAzXsEqx8Accenture%20North%20AmericaKwtmMQgzLfwf5gHRa1712399407567completioncertificate.pdf

• English
• Hindi
• Telugu

- Hotel Booking Analysis (EDA Project):

Conducted exploratory data analysis (EDA) on hotel booking data to improve occupancy rates and customer satisfaction.
- Utilized various data visualization techniques, including:
 - Histograms
 - Heatmaps
 - Scatter plots
- Uncovered insights into booking patterns and customer demographics.
- Identified significant correlations between:
 - Lead time and cancellation rates
 - Seasonality in bookings
- Evaluated key performance indicators (KPIs) such as:
 - Average Daily Rate (ADR)
 - Revenue per Available Room (RevPAR)
- Identified opportunities for improving profitability.
- Implemented advanced statistical methods to:
 - Segment customers
 - Predict future booking behaviors
- Provided actionable recommendations for marketing strategies.
- Enhanced understanding of data analysis techniques and the impact of data-driven decisions on business performance.
- For detailed findings and methodologies, refer to the [notebook linked above](https://github.com/Sohail021/EDA_project/blob/git-fetchorigin/Hotel%20booking%20analysis%20EDA.ipynb).

- Completed a Power BI job simulation with PwC Switzerland in April 2024.
- Strengthened Power BI skills to understand clients and their data visualization needs.
- Developed interactive dashboards to effectively communicate findings.
- Collaborated with peers on real-world data scenarios, enhancing analytical skills.
- Translated complex data sets into actionable insights.
- Utilized DAX language to optimize data models and improve report efficiency.
- Received constructive feedback from industry professionals.
- Learned about data storytelling and visual design principles.
- Prepared for future challenges in data analysis and business intelligence.
- Emphasized the importance of adaptability and continuous learning in data-driven decision making.