My title is Chetan Sharma, and I’m at present primarily based in Gurgaon, Haryana. Over the previous 5 years, I’ve been deeply immersed within the area of Information Analytics, the place I’ve gained experience in instruments like MS-Excel, Energy BI, and Energy Automate, incomes certifications straight from Microsoft.
Past the realm of knowledge evaluation, I’ve a ardour for sports activities. I’ve had the privilege of representing Haryana State in Nationwide Soccer video games, showcasing my dedication and abilities on the sphere. Moreover, as a private pursuit, I’ve been studying boxing for the previous 12 months, discovering each bodily and psychological enrichment within the sport.
In essence, my skilled journey in information analytics is complemented by my dedication to sports activities, reflecting a well-rounded method to each work and private improvement.
Earlier than embarking on my journey with Nice Studying, I used to be entrenched in a dynamic function at FIS World Providers. As a Senior Analyst inside the Enterprise Intelligence and Digital Transformation crew, my main duty revolved round crafting impactful options for our clientele. Particularly, I spearheaded the event of bespoke Energy BI dashboards tailor-made to the various wants of our purchasers. This function not solely honed my technical prowess but additionally sharpened my capacity to translate information into actionable insights, driving enterprise outcomes.
My determination to enroll within the Nice Studying program stemmed from a deep-seated want to raise my profession trajectory by means of upskilling. After three years of immersion within the company world, I felt compelled to increase my horizons and delve into the realm of Information Science, recognizing it because the pure development from my background in analytics.
What really captivated me about Information Science was its transformative potential – the power to glean useful insights and make knowledgeable selections from uncooked information. This innate curiosity led me to discover numerous avenues for studying, together with certificates programs provided by esteemed establishments like IITs. Nevertheless, it was Nice Studying that stood out among the many relaxation. The endorsement from a senior colleague, who served as a Lead Information Scientist at CitiBank, additional solidified my determination. Their firsthand expertise and advice underscored the credibility and high quality of training imparted by Nice Studying.
Furthermore, upon delving into Nice Studying’s choices, I used to be impressed by the meticulously crafted curriculum, tailor-made timetables, and publicity to industry-level tasks. These parts promised a holistic studying expertise, bridging the hole between principle and sensible software.
Maybe most compelling was Nice Studying’s strong profession help. The peace of mind of entry to profession alternatives post-completion instilled confidence in my determination, making Nice Studying the plain alternative for my tutorial journey.
My expertise with Nice Studying has been distinctive. They’ve enabled me to faucet into my full potential by offering complete insights into the intricacies of the info science {industry}. Notably, they supported me in resuming my research after a five-year hiatus post-graduation. All through this system, I gained useful data in Python, the importance of statistics in driving enterprise selections, and rather more.
What stood out essentially the most was the unwavering assist from this system administration crew, all the time prepared to help, and the dedication of mentors in clarifying doubts and making certain conceptual readability.
This system has profoundly impacted each my skilled trajectory and private progress. Professionally, it facilitated a major upskilling journey, transitioning me from MS-Excel and Energy BI to proficiently constructing built-in reporting techniques utilizing Python, SQL, and Tableau. This transition has allowed me to streamline processes by fetching information from SQL Server, reworking it by means of Python, and creating dynamic dashboards tailor-made for enterprise and higher administration wants.
This shift not solely minimizes human effort beforehand invested in guide report preparation but additionally automates duties, optimizing useful resource allocation inside the firm. Personally, this transition signifies a milestone in my steady studying journey, empowering me to adapt to evolving {industry} calls for whereas enhancing effectivity and effectiveness in my function.
The issue space in our enterprise vertical at Airtel Worldwide LLP, significantly within the Airtel Cash phase, revolved across the administration of suspicious transactions flagged by SAS techniques. With 150 million customers unfold throughout 14 nations, we encountered roughly 15 million alerts month-to-month. The absence of reporting on Service Stage Settlement (SLA) adherence posed a major problem. It was essential to make sure that these alerts, straight impacting income, have been promptly addressed inside the agreed timelines to mitigate potential income loss.
To handle the SLA reporting problem within the Income Assurance Compliance crew at Airtel Worldwide LLP, I leveraged Information Science strategies. Recognizing the inefficiency of month-to-month stories produced in MS-Excel, which consumed 3-4 days attributable to massive information volumes, I devised an answer. Firstly, I linked the SQL Database to a Jupyter Pocket book and scripted a course of to generate consolidated stories for all 14 nations each day, finishing the duty inside quarter-hour. Subsequently, I built-in the outcomes of those SLA stories right into a Tableau Dashboard, providing a complete view of weekly efficiency throughout all nations and the analysts dealing with the alerts. This streamlined method not solely accelerated reporting but additionally enhanced visibility and monitoring capabilities, enabling proactive administration of suspicious transactions and safeguarding income integrity.
The implementation of the brand new reporting system yielded vital outcomes for our crew:
- Time Financial savings: The transition from month-to-month MS-Excel stories to each day automated reporting by way of Jupyter Pocket book resulted in roughly 3-4 days of saved human labor. This optimization allowed the SAS/Airtel Cash crew to allocate sources extra effectively, enabling them to satisfy SLA targets successfully.
- Enhanced Efficiency Monitoring: The mixing of SLA outcomes into the Tableau Dashboard offered visibility into analyst-wise alert dealing with, a beforehand ignored facet. This addition empowered the enterprise to determine brokers dealing with challenges in dealing with alerts, facilitating focused assist and coaching initiatives to enhance total efficiency.
- Operational Effectivity: By streamlining reporting processes and enhancing efficiency monitoring capabilities, the initiative contributed to total operational effectivity inside the Income Assurance Compliance crew.
Shifting ahead, efforts are underway to additional enhance reporting frequency, aiming to publish stories on a close to real-time foundation. This steady enhancement displays our dedication to leveraging Information Science for ongoing course of optimization and enterprise success.