My identify is Chetan Sharma, and I’m at present based mostly 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 immediately 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 expertise on the sector. 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 position at FIS International Providers. As a Senior Analyst inside the Enterprise Intelligence and Digital Transformation workforce, 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 position not solely honed my technical prowess but in addition sharpened my skill to translate information into actionable insights, driving enterprise outcomes.
My resolution to enroll within the Nice Studying program stemmed from a deep-seated need to raise my profession trajectory by means of upskilling. After three years of immersion within the company world, I felt compelled to broaden 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 precious insights and make knowledgeable choices 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 resolution. Their firsthand expertise and suggestion underscored the credibility and high quality of schooling 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 components promised a holistic studying expertise, bridging the hole between principle and sensible utility.
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 resolution, making Nice Studying the plain selection 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 information science {industry}. Notably, they supported me in resuming my research after a five-year hiatus post-graduation. All through this system, I gained precious information in Python, the importance of statistics in driving enterprise choices, and far more.
What stood out essentially the most was the unwavering assist from this system administration workforce, 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 development. Professionally, it facilitated a major upskilling journey, transitioning me from MS-Excel and Energy BI to proficiently constructing built-in reporting programs 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 in addition 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 position.
The issue space in our enterprise vertical at Airtel Worldwide LLP, significantly within the Airtel Cash section, revolved across the administration of suspicious transactions flagged by SAS programs. With 150 million customers unfold throughout 14 international locations, 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, immediately impacting income, had been promptly addressed inside the agreed timelines to mitigate potential income loss.
To deal with the SLA reporting problem within the Income Assurance Compliance workforce at Airtel Worldwide LLP, I leveraged Information Science methods. Recognizing the inefficiency of month-to-month studies 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 studies for all 14 international locations each day, finishing the duty inside quarter-hour. Subsequently, I built-in the outcomes of those SLA studies right into a Tableau Dashboard, providing a complete view of weekly efficiency throughout all international locations and the analysts dealing with the alerts. This streamlined method not solely accelerated reporting but in addition enhanced visibility and monitoring capabilities, enabling proactive administration of suspicious transactions and safeguarding income integrity.
The implementation of the brand new reporting system yielded important outcomes for our workforce:
- Time Financial savings: The transition from month-to-month MS-Excel studies to each day automated reporting through Jupyter Pocket book resulted in roughly 3-4 days of saved human labor. This optimization allowed the SAS/Airtel Cash workforce to allocate assets 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 going through 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 workforce.
Transferring ahead, efforts are underway to additional enhance reporting frequency, aiming to publish studies 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.
