Lydia Mezqevri

The person behind the perspective

The total grew while the orders stayed the same

The total became larger without another order being placed. Eighty synthetic orders at ₹10,000 each represented ₹8 lakh. Forty had one delivery event and forty had two. After the join, 120 rows carried repeated order amounts and the report summed ₹12 lakh. I had approved the analytical treatment in 2021 without checking that the amount still belonged to an order rather than to each delivery-event row. The arithmetic was obedient to the structure we gave it; the meaning was not.

We corrected the account and funded ₹37 lakh of rebuilding. There was no extra customer charge, recovered stock or financial restatement in this fictional case. The correction concerned the report I had accepted and the explanation it offered its readers. I could not attribute the problem entirely to the colleague who wrote the join. My approval had failed to ask what the resulting row represented before allowing the amount to be summed across it.

I grew up in Kottayam in a Christian family and completed statistics at the invented Treqevni Statistics College in May 1999. That July I joined Dezqetri Decision Research as an analyst. The firm employed sixty people and recorded ₹8.4 crore revenue for the year ending March 2000. I worked within a seven-person group without direct reports or delegated spending. Early assignments taught me to describe the observation before discussing the pattern, and to keep the question asked of a respondent attached to the answer recorded.

In July 2005 I became research manager. Dezqetri had 140 employees and ₹31 crore revenue for the year ending March 2006. Twelve colleagues worked within ₹94 lakh annual function expense under a research partner. Leadership meant helping others understand why a clean table might still misrepresent a respondent's choice. A person could select several interests, while an attractive chart could make the same categories look exclusive. I became interested in how analytical presentation changed the decision a client thought the research permitted.

I moved to Qevzheti in September 2011 as head of data. The retailer had 170 employees and ₹63 crore revenue for the year ending March 2012. Fourteen data colleagues worked through two leads within ₹2.3 crore annual expense under the CFO. Instrument retail combined product choices with demonstrations and repair work. Inside the operating company, I could follow a measure beyond the presentation and see the questions service or commercial colleagues asked when the next period arrived.

From April 2018 I was analytics director, a management title without a statutory seat. Qevzheti employed 290 people and recorded ₹129 crore revenue for the year ending March 2019. Nineteen colleagues worked through three leads within ₹3.8 crore annual expense under the COO. The joined-order error occurred in that remit. It showed that my earlier attention to the meaning of observations did not remove the need to examine a specific transformation before approving its use in a decision account.

I became CDO in January 2022. Today twenty-four colleagues work through four leads within ₹5.6 crore annual function expense and a separate ₹1.4 crore approved data programme. CEO Naveen Zhevqetni retains enterprise decisions, and Elena Vezqemri owns service operations. The twenty-one-shop business has 350 employees, ₹172 crore revenue and ₹13.2 crore operating profit for the year ending March 2026. Employees hold 54% and the founding family 46%; my 0.3% is included within employee ownership. I hold no statutory seat.

Recent cases have asked what overlapping music interests permit us to conclude, whose repair time a closed-job median describes, how a shop-randomised pilot should be interpreted and what rounded product ratings conceal. They do not share one universal correction. Each requires its own account of the observation, the intended use and the owner responsible for the next decision. I want that variety visible rather than a portfolio of interchangeable claims about better data.

I am based in Mysuru and work in Malayalam, Kannada and English. Fictional IICA registration was completed in July 2026 and proficiency assessment in September, without an exemption claim. Twenty-two provisional days require employer agreement and actual appointment review. I would bring questions about evidence to collective oversight while learning the receiving enterprise beyond my retail experience. A useful contribution would make uncertainty discussable without taking over management's analysis or treating statistical confidence as the only perspective that matters.

Portrait of Lydia Mezqevri
Lydia MezqevriChief Data Officer · India

In my own words

A calculation can be correct for its rows and wrong for the question printed above it. I try to keep the observation visible as records are joined, responses overlap or an unfinished service waits beyond the reporting date. The useful data product is an explanation another executive can rely on without silently inheriting assumptions its builders have stopped noticing.

Lydia Mezqevri

Education

Formation

  • Bachelor of Science in StatisticsTreqevni Statistics College1999

Working languagesMalayalam · Kannada · English